Server Quality Checklist

Tool Scores

• ask_chatgptA
  4.2/5.0
  Behavior3/5

  Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

  Without annotations, the description carries full burden. It mentions the core behavior (ask question, get response) and model types, but does not disclose potential side effects (e.g., cost, latency) or authentication requirements. The schema provides additional details like streaming and timeouts, but the description itself is minimal.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness5/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  Two sentences that front-load the core purpose and then provide a succinct differentiation of model types. No unnecessary words.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness4/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  The description covers the essential purpose and model distinction, but given 11 parameters and no output schema, it could mention the return format (text response) and streaming behavior. It is mostly complete, leaving some details to the schema.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters4/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  With 100% schema coverage, the baseline is 3. The description adds value by grouping parameters: regular models use temperature, reasoning models use effort/verbosity. This contextual guidance helps the agent select appropriate parameters.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states the tool asks ChatGPT a question and gets a response. It distinguishes between regular and reasoning models, which aligns with the model parameter options.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description provides context on when to use regular models (with temperature) vs reasoning models (with effort/verbosity). However, it lacks explicit guidance on when not to use this tool, though no siblings exist to compare.

  Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.