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

With no annotations, the description carries full burden for behavioral disclosure. It usefully adds that results are backed by consent records and that purchase requires attestation, but it omits search-specific behaviors such as pagination (limit/offset), error handling, authentication requirements, or result format. These are significant gaps for a search tool.

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 first sentence is well-structured and immediately conveys the tool's purpose. The second sentence, however, focuses on buy_data and purchase attestation, which is tangential to the search operation; it adds context but also clutters the description. It is reasonably short but not entirely focused.

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?

For a tool with 5 parameters, no annotations, and no output schema, the description is incomplete. It lacks return value details, pagination defaults, error behavior, and sibling differentiation. The consent and attestation context is valuable, but it does not sufficiently round out the operational picture for an autonomous agent.

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 60%, and the description partially maps 'data type' to subcategory and 'keyword' to q, but it also introduces 'demographics', which has no corresponding parameter in the schema, misleading the agent. It does not explain the behavior or defaults of limit/offset or the sort values, so the description does not compensate for the uncovered parameters.

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 a specific verb ('Search'), resource ('Personal Health Data listings'), and search criteria ('by data type, keyword, and demographics'). This distinguishes it from generic browsing, but it does not explicitly differentiate from sibling tools like browse_marketplace or list_health_data, so it falls just short of a 5.

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?

No explicit guidance is provided about when to use this tool versus alternatives. The mention of buy_data and attestation is relevant to the purchase flow, not to selecting search_health_data over browse_marketplace or list_health_data. The agent is left to infer usage from the name and context.

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