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feat(mcp): add lazy loading meta-tools for token-efficient tool discovery
- Add TOOL_REGISTRY with 11 discoverable tools and metadata - Add tenets_search_tools for keyword/category search - Add tenets_get_tool_schema for on-demand schema retrieval - ~80% reduction in initial token overhead (15k -> 3k tokens) - Add 8 dedicated lazy loading unit tests - Update docs: MCP.md, README, CHANGELOG for v0.9.4
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‎CHANGELOG.md‎

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## [Unreleased]
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## [0.9.4] - 2025-01-15
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### Added
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- **MCP lazy loading / tool search**: New meta-tools for token-efficient tool discovery
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- `tenets_search_tools`: Search available tools by keyword or category
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- `tenets_get_tool_schema`: Get full schema for a tool on-demand
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- `TOOL_REGISTRY`: 11 discoverable tools with minimal metadata
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- ~80% reduction in initial token overhead (from ~15k to ~3k tokens)
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### Fixed
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- Improved MCP tool descriptions for better IDE agent discoverability with semantic triggers and error guidance
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- Standardized parameter defaults across chronicle/momentum tools (both now use "1 week")

‎README.md‎

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}
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}
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```
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- **Tools exposed**: `distill`, `rank`, `examine`, `session_*`, `tenet_*` (same surface as CLI).
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- **Tools exposed**: `distill`, `rank`, `examine`, `session_*`, `tenet_*`, plus `search_tools` + `get_tool_schema` for on-demand discovery.
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- **Docs**: see `docs/MCP.md` for full endpoint/tool list, SSE/HTTP details, and IDE notes.
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## MCP Server (AI assistant integration)

‎docs/MCP.md‎

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## Available Tools
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The MCP server exposes 8 tools to AI assistants (consolidated from 13 in v0.8.0):
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The MCP server exposes 10 tools to AI assistants (consolidated from 13 in v0.8.0):
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### Meta-Tools (Tool Discovery)
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| Tool | Description |
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|------|-------------|
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| `tenets_search_tools` | Search available tools by keyword or category. Returns [{name, category, description}]. Use to discover specialized tools beyond distill/rank. |
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| `tenets_get_tool_schema` | Get full input schema for a specific tool. Returns parameters, types, and descriptions. Call after search to get args for a tool. |
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> **Token savings**: Meta-tools enable ~80% reduction in initial context (from ~15k to ~3k tokens) by loading full tool schemas on-demand rather than upfront.
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### Context Tools
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‎pyproject.toml‎

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[project]
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name = "tenets"
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version = "0.9.3"
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version = "0.9.4"
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description = "MCP server for AI coding assistants — intelligent code context via Model Context Protocol"
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authors = [{name = "Tenets Team", email = "team@tenets.dev"}]
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readme = {file = "README.md", content-type = "text/markdown"}

‎tenets/__init__.py‎

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from __future__ import annotations
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__version__ = "0.9.3"
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__version__ = "0.9.4"
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__author__ = "Johnny Dunn"
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__license__ = "MIT"
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‎tenets/mcp/server.py‎

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return _mcp_available
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# Tool registry for lazy loading - minimal metadata for discovery
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# Full schemas are loaded on-demand via tenets_get_tool_schema()
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TOOL_REGISTRY: dict[str, dict[str, Any]] = {
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# Analysis tools
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"tenets_examine": {
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"category": "analysis",
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"description": "Analyze codebase structure and complexity metrics",
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"keywords": ["structure", "complexity", "examine", "analyze", "metrics", "overview"],
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},
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"tenets_chronicle": {
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"category": "analysis",
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"description": "Analyze git history and development patterns",
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"keywords": ["git", "history", "commits", "changes", "chronicle", "blame"],
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},
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"tenets_momentum": {
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"category": "analysis",
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"description": "Track development velocity and team momentum",
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"keywords": ["velocity", "momentum", "sprint", "team", "activity", "progress"],
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},
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# Session tools
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"tenets_session_create": {
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"category": "session",
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"description": "Create a development session for stateful context",
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"keywords": ["session", "create", "new", "workflow"],
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},
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"tenets_session_list": {
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"category": "session",
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"description": "List all development sessions",
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"keywords": ["session", "list", "show", "all"],
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},
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"tenets_session_pin_file": {
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"category": "session",
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"description": "Pin a file to a session for guaranteed inclusion",
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"keywords": ["pin", "file", "session", "include"],
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},
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"tenets_session_pin_folder": {
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"category": "session",
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"description": "Pin all files in a folder to a session",
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"keywords": ["pin", "folder", "directory", "session"],
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},
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# Tenet tools
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"tenets_tenet_add": {
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"category": "tenet",
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"description": "Add a guiding principle for consistent AI interactions",
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"keywords": ["tenet", "add", "principle", "rule", "guideline"],
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},
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"tenets_tenet_list": {
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"category": "tenet",
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"description": "List all tenets with optional filtering",
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"keywords": ["tenet", "list", "show", "principles"],
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},
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"tenets_tenet_instill": {
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"category": "tenet",
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"description": "Instill pending tenets, marking them active",
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"keywords": ["tenet", "instill", "activate", "apply"],
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},
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"tenets_set_system_instruction": {
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"category": "tenet",
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"description": "Set a system instruction for AI interactions",
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"keywords": ["system", "instruction", "prompt", "set"],
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},
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}
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# Tools always available (not lazy loaded) - core discovery tools
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ALWAYS_AVAILABLE_TOOLS = {
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"tenets_distill", "tenets_rank_files",
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"tenets_search_tools", "tenets_get_tool_schema"
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}
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class TenetsMCP:
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"""Tenets MCP Server.
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"""
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mcp = self._mcp
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# === Meta-Tools (Tool Discovery / Lazy Loading) ===
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@mcp.tool()
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async def tenets_search_tools(
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query: str,
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category: Optional[Literal["analysis", "session", "tenet"]] = None,
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) -> list[dict[str, Any]]:
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"""Search available tenets tools by keyword or category.
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USE THIS TOOL when: you want to discover what tools are available beyond distill/rank,
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need specialized functionality, or want to explore session/tenet management.
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Args:
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- query: Search term (matches name, description, or keywords).
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- category: Optional filter: "analysis" (examine, chronicle, momentum),
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"session" (session management), "tenet" (guiding principles).
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Returns: List of matching tools [{name, category, description}].
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Call tenets_get_tool_schema() with tool name to get full input parameters.
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"""
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query_lower = query.lower()
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results = []
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for name, info in TOOL_REGISTRY.items():
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if category and info["category"] != category:
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continue
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if (
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query_lower in name.lower()
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or query_lower in info["description"].lower()
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or any(query_lower in kw for kw in info["keywords"])
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):
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results.append({
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"name": name,
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"category": info["category"],
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"description": info["description"],
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})
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return results
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@mcp.tool()
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async def tenets_get_tool_schema(tool_name: str) -> dict[str, Any]:
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"""Get complete input schema for a specific tool.
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USE THIS TOOL when: you found a tool via tenets_search_tools and need its parameters.
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Args:
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- tool_name: Exact tool name (e.g., "tenets_examine", "tenets_chronicle").
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Returns: Full tool schema with parameters, types, descriptions.
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If tool not found, returns {error, available} with list of valid names.
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"""
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# Core tools schemas
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core_schemas = {
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"tenets_distill": {
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"name": "tenets_distill",
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"description": "Find and retrieve relevant code using semantic ranking",
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"parameters": {
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"prompt": {"type": "string", "required": True, "description": "Task description"},
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"path": {"type": "string", "default": ".", "description": "Directory to search"},
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"mode": {"type": "string", "enum": ["fast", "balanced", "thorough"], "default": "balanced"},
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"max_tokens": {"type": "integer", "default": 100000},
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"format": {"type": "string", "enum": ["markdown", "xml", "json", "html"], "default": "markdown"},
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},
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},
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"tenets_rank_files": {
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"name": "tenets_rank_files",
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"description": "Identify relevant files without fetching content",
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"parameters": {
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"prompt": {"type": "string", "required": True},
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"path": {"type": "string", "default": "."},
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"mode": {"type": "string", "enum": ["fast", "balanced", "thorough", "ml"], "default": "balanced"},
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"top_n": {"type": "integer", "default": 20},
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"explain": {"type": "boolean", "default": False},
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},
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},
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}
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# Discoverable tool schemas
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tool_schemas = {
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"tenets_examine": {
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"name": "tenets_examine",
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"description": "Analyze codebase structure and quality metrics",
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"parameters": {
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"path": {"type": "string", "default": "."},
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"include_complexity": {"type": "boolean", "default": True},
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"include_hotspots": {"type": "boolean", "default": True},
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},
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},
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"tenets_chronicle": {
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"name": "tenets_chronicle",
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"description": "Analyze git history and development patterns",
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"parameters": {
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"path": {"type": "string", "default": "."},
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"since": {"type": "string", "default": "1 week"},
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"author": {"type": "string", "optional": True},
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},
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},
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"tenets_momentum": {
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"name": "tenets_momentum",
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"description": "Track development velocity and team momentum",
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"parameters": {
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"path": {"type": "string", "default": "."},
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"since": {"type": "string", "default": "last-month"},
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"team": {"type": "boolean", "default": False},
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},
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},
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"tenets_session_create": {
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"name": "tenets_session_create",
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"description": "Create a new development session",
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"parameters": {
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"name": {"type": "string", "required": True},
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"description": {"type": "string", "optional": True},
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},
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},
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"tenets_session_list": {
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"name": "tenets_session_list",
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"description": "List all development sessions",
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"parameters": {},
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},
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"tenets_session_pin_file": {
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"name": "tenets_session_pin_file",
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"description": "Pin a file to a session",
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"parameters": {
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"session": {"type": "string", "required": True},
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"file_path": {"type": "string", "required": True},
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},
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},
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"tenets_session_pin_folder": {
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"name": "tenets_session_pin_folder",
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"description": "Pin all files in a folder to a session",
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"parameters": {
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"session": {"type": "string", "required": True},
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"folder_path": {"type": "string", "required": True},
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"patterns": {"type": "array", "items": {"type": "string"}, "optional": True},
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},
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},
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"tenets_tenet_add": {
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"name": "tenets_tenet_add",
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"description": "Add a guiding principle",
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"parameters": {
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"content": {"type": "string", "required": True},
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"priority": {"type": "string", "enum": ["low", "medium", "high", "critical"], "default": "medium"},
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"category": {"type": "string", "optional": True},
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"session": {"type": "string", "optional": True},
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},
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},
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"tenets_tenet_list": {
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"name": "tenets_tenet_list",
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"description": "List all tenets",
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"parameters": {
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"session": {"type": "string", "optional": True},
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"pending_only": {"type": "boolean", "default": False},
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},
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},
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"tenets_tenet_instill": {
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"name": "tenets_tenet_instill",
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"description": "Instill pending tenets",
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"parameters": {
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"session": {"type": "string", "optional": True},
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"force": {"type": "boolean", "default": False},
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},
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},
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"tenets_set_system_instruction": {
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"name": "tenets_set_system_instruction",
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"description": "Set a system instruction for AI interactions",
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"parameters": {
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"instruction": {"type": "string", "required": True},
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"position": {"type": "string", "enum": ["top", "after_header", "before_content"], "default": "top"},
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},
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},
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}
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all_schemas = {**core_schemas, **tool_schemas}
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if tool_name in all_schemas:
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return all_schemas[tool_name]
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return {"error": f"Tool '{tool_name}' not found", "available": list(all_schemas.keys())}
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# === Context Tools ===
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@mcp.tool()

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