The server defines 15 tools, but quality is highly inconsistent. Only 6 tools have visible, complete input schemas in the source code (propose_tool, request_tool, get_tool_proposal, list_tool_proposals, get_tool_request, list_tool_requests from tool_proposals.py). The remaining 9 tools are defined in archived files (archive/2025-06-24-transaction-fix/server.py) which are not provided in full, making their schemas and implementation unverifiable. Of the visible tools, schemas are present but descriptions are generic and parameter descriptions lack depth. Critical issues: (1) Many tool names do not clearly convey action intent, e.g. 'suggest_tool' is vague (suggest for what purpose?), 'get_guidance_hub' is overly domain-specific without explaining its purpose to an LLM. (2) Descriptions are too short (10-50 chars typical) and lack context about WHEN to use each tool or what downstream tools expect. (3) No error handling guidance in any description. (4) Parameters like 'context' in suggest_tool and get_best_practices lack constraints, format specs, or examples of valid inputs. (5) Tool composition issues: propose_tool and request_tool appear to do similar things (proposing/requesting tools) but naming does not make the distinction obvious. (6) No documented output schemas visible for any tool, LLMs cannot know what fields to expect or how to chain tools.

• Expand ALL tool descriptions to 150-250 characters. Include: (1) What the tool does in one sentence, (2) WHEN to use it vs similar tools, (3) What it returns (e.g. 'Returns proposal object with id, status, timestamp'), (4) Any prerequisites.
• Move tool definitions from archived files into active server.py. All 15 tools must have explicit schema registrations visible in source. Use fastmcp decorators consistently.
• Document return schemas for all tools. At minimum: schema JSON specifying field names, types, and presence (required/optional). Include pagination info (total_count, next_cursor) for list tools.
• Add parameter constraints: (1) 'status' fields should be enums (Proposed|Approved|Implemented|Rejected). (2) 'priority' should be enum (LOW|MEDIUM|HIGH). (3) 'context' string should have format spec (1-500 chars, no special chars, etc.). (4) 'limit' should have min/max (1-100 recommended).
• Clarify tool intent via naming or description: (1) Rename request_tool to request_tool_feature or clarify that 'request' means 'user asks for a tool' vs 'propose' means 'AI recommends'. (2) For suggest_tool, describe the workflow: 'Recommend tools for a given workflow step. Returns tool names, descriptions, and required parameters.'
• Add error handling to descriptions: E.g. 'If proposal not found, returns error with available proposal IDs.' and 'If context is invalid, returns list of supported contexts.'
• For list tools, add pagination guidance: 'Results limited to `limit` param (default 10, max 100). Use offset/cursor for additional pages.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry