List Observation Default Distribution Members

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

Annotations already declare read-only and idempotent behavior. The description adds value by mentioning pagination and the use of page/per_page parameters, but does not disclose additional behavioral traits beyond what the annotations provide.

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 relatively concise, consisting of three sentences. However, there is some redundancy (e.g., mentioning 'paginated JSON array' and 'pagination metadata' separately) and the inclusion of the API endpoint may be extraneous for an agent.

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 absence of an output schema and the internal contradiction about return type (Users vs Observations), the description does not sufficiently inform the agent about what the tool returns or how to interpret the response, leaving significant gaps.

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 clear descriptions for all parameters. The description's mention of 'Required parameters: project_id' and 'Use page and per_page to control pagination' adds minimal value beyond the schema, so a baseline score of 3 is appropriate.

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 begins by stating it returns a collection of Users, but later contradicts itself by saying it returns a paginated JSON array of Observations. This internal inconsistency makes the purpose unclear and potentially misleading.

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 suggests using the tool for enumeration, pagination, and filtering, but does not provide guidance on when to use this tool versus similar alternatives like 'list_default_distribution_members', nor does it specify when not to use it.

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