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

The description discloses key behavioral aspects: per-query cost (0.01 USDC), a query limit (max 20 per session), and that it follows funding. Annotations do not indicate read-only or destructive behavior, and the description aligns with the paid/consumptive nature of the operation.

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 uses a clear three-part structure: offering, listing details, and required sequence. It avoids excessive prose but includes some redundant marketing phrasing like 'first taste free,' which slightly reduces focus.

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, the description provides sufficient context about cost, limits, the specific dataset, and the required preceding steps. It does not mention error cases or response formats, but those are not strictly necessary for basic invocation.

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 only 40%, and the description does not compensate by explaining parameters such as query, k, or delivery_receipt. Only session_id and sandbox_receipt have schema-level descriptions, leaving multiple parameters underspecified for an agent.

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 tool provides paid query access to live data listings, specifically the govulnwatch tracker, and references the preceding session steps. However, it uses marketing-style language ('Buy per-query access') rather than plainly stating 'run a query against a funded session,' which is only in the schema's internal description.

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 gives an explicit sequence: data_session_open → data_session_fund → data_session_query, and mentions data_preview for a free first taste. This strongly signals when to use this tool relative to siblings, though it does not explicitly state 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.