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Knowledge tracking tools for Claude and other LLMs
Tribal provides 6 tools with generally good naming (verb-first pattern) and descriptions present for all tools. However, there are significant gaps in parameter descriptions, output schemas are not documented, and error handling guidance is minimal. The server demonstrates awareness of structured input (Pydantic models, JSON schemas with types and descriptions for most params), but lacks explicit output schema documentation and recovery guidance. Parameter descriptions are present but often generic (e.g., 'The error message' for error_message). No tool annotations (readOnlyHint/destructiveHint) are visible in the code despite clear risk profiles (track_error=WRITE, delete_error=DESTRUCTIVE). The tools follow a reasonable composition pattern (each does one thing) and naming is clear, placing this in the C+/B- range.
Delete an error record.
Find errors similar to the given query.
Check the API status.
Get an error record by its ID.
Search for errors in the knowledge base.
Track an error and its solution in the knowledge base.
Output schemas not documented in tool definitions. LLMs cannot see what fields are returned, forcing them to guess at response structure and plan downstream operations blindly.
Tool annotations (destructiveHint, readOnlyHint, idempotentHint) are missing from the MCP tool definitions. delete_error is clearly destructive, track_error is a write operation, and search_errors/find_similar_errors are read-only, these distinctions should be declared in the tool metadata to guide agent reasoning.
Error handling lacks recovery guidance. The make_api_request function returns response.raise_for_status() on 400+ codes, which produces raw HTTP errors. LLMs receive no actionable guidance on what went wrong or what to try next.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | C | 61 | <=2025-11-25 | v2 |
| 2026-03-09 | C | 63 | - | v1 |
Destructive operation (delete_error) lacks confirmation or dry-run capability. Agents can irreversibly delete error records without a safety mechanism.
Parameter descriptions are present but often minimal (under 50 chars for many params). Example: 'The error message' (19 chars) doesn't explain valid format, length constraints, or why it matters. Descriptions should be 50-200 chars to properly guide LLM selection.
get_api_status has minimal documentation (50 chars: 'Check the API status.'). No explanation of what 'status' means, when to call it, or what response indicates. Should clarify: 'Check the Tribal API health status. Returns 200 if API is up, includes version and uptime. Use before bulk operations to verify connectivity.'
Pagination parameters (max_results) lack bounds documentation. find_similar_errors and search_errors accept max_results (default 5) but no description of valid range (min/max). An LLM could pass max_results=999999, causing API timeout or resource exhaustion.
No idempotency guarantee documented. track_error should clarify: if called twice with identical inputs, does it create a duplicate record or return the existing one? Agents will retry on transient failures, idempotency prevents data duplication.