List Observation Item Response Logs

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

The description adds behavioral context beyond annotations by explaining the paginated response format and how to control pagination with page and per_page parameters. It mentions that the response includes pagination metadata, which is not in the annotations. No contradiction with annotations.

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

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

The description is concise and front-loaded, starting with the main purpose. It covers usage, pagination, required parameters, and API reference in a structured manner without unnecessary fluff. Every sentence adds value.

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

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

Given the tool has 4 parameters, no output schema, and moderate complexity, the description covers purpose, usage, required parameters, and pagination. It lacks detail on the response structure beyond 'paginated JSON array', but this is acceptable given the schema coverage and annotations.

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

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

Schema description coverage is 100%, so the schema already documents all parameters. The description adds minimal guidance by repeating required parameters and explaining pagination usage. This is a baseline score with slight improvement.

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

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

The description clearly states the verb 'returns', the resource 'Response Logs for a given Observation Item', and the use case 'enumerate Observations when you need a paginated overview, to find IDs, or to filter by query parameters'. It effectively distinguishes this tool from similar siblings like 'list_observations_response_logs' by specifying the required parameters and endpoint context.

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

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

The description explicitly states when to use this tool: 'to enumerate Observations when you need a paginated overview, to find IDs, or to filter by query parameters'. It does not explicitly state when not to use it or provide alternatives, but the context is clear enough for the agent to decide.

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