Critical gaps across all three tools. Tool definitions are inferred from code rather than explicitly registered with full schemas. The source code snippet is truncated (ends mid-dataclass definition), preventing verification of complete parameter schemas and output documentation. Tool #3 (dynamic_litellm_openapi_tools) has no visible input schema. Tools #1 and #2 have minimal descriptions (under 100 chars) that lack context on when to use them or what they return. No error handling guidance, no output schema documentation, and no parameter validation rules visible in the provided code.
Dynamically generated tools from LiteLLM OpenAPI specification. Each tool corresponds to an OpenAPI operation and is created at runtime based on the /openapi.json endpoint.
Describe a dynamically registered LiteLLM OpenAPI MCP tool.
List dynamically registered LiteLLM OpenAPI MCP tools.
Tool #3 (dynamic_litellm_openapi_tools) has no visible input schema in source code. Tool definition appears inferred rather than explicitly registered.
All three tool descriptions are under 100 characters and lack context on WHEN to use each tool, WHAT it returns, or HOW it differs from similar tools. Descriptions do not answer the three key questions: what does it do, when should the LLM call it, what does it return?
No output schema documentation visible. LLMs cannot plan downstream calls or extract required fields without knowing the response structure. Tools #1 and #2 should document what fields are returned (e.g., tool_name, method, path, summary, description for list results).
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 40 | <=2025-11-25 | v2 |
Parameter descriptions for 'search', 'method', and 'limit' in tool #1 are present but minimal. No constraints documented (e.g., limit range, search field scope, method enum values).
No error handling guidance. If a tool_name is not found, or if the LiteLLM API is unreachable, the LLM receives no recovery hint. Error responses should tell the agent what to do next (e.g., 'Tool not found. Call list_litellm_openapi_tools() to see available tools.').