List Observations Response Logs

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

Annotations already declare readOnlyHint, destructiveHint, idempotentHint, openWorldHint. The description adds context: returns paginated JSON array, pagination metadata, required project_id, and API endpoint. No contradictions found; it enhances transparency beyond 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?

Well-structured: first sentence states purpose, then link, usage, response format, pagination, required param, and API reference. Slightly verbose but all sentences provide distinct value; could be more concise.

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?

With no output schema, the description explains the response is a paginated JSON array of Observations with metadata, but does not detail the structure of Response Logs or observation objects. Adequate for basic use but lacks depth for complete understanding.

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 coverage is 100% with descriptions for all 5 parameters. The description adds value by explicitly stating 'Use page and per_page to control pagination' and 'Required parameters: project_id', complementing the schema without redundancy.

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 it returns Response Logs for Observations, using specific verbs like 'Returns', 'Use this to enumerate'. It mentions pagination, filtering, and IDs. However, it does not explicitly distinguish from sibling tools like list_observation_items, leaving potential ambiguity.

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?

Provides some usage context: 'when you need a paginated overview, to find IDs, or to filter by query parameters.' It also links to filtering documentation. However, it lacks guidance on when not to use it or alternatives, limiting decision support.

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