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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds useful behavior beyond that: newest-first ordering, the caveat that reports are as filed and not verified outcomes, and the x402 pricing model including that failed calls are not charged.

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 purpose and source are front-loaded, followed by ordering, caveat, and pricing details. It is appropriately sized for a paid data-retrieval tool, though the pricing parenthetical is somewhat dense.

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 an output schema present and annotations covering safety, the description supplies the source, dataset identifier, ordering, data caveat, and payment terms. It is largely complete for correct invocation, with the main gap being usage guidance relative to siblings.

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 limit and category parameters are already documented in the schema. The description does not add syntax or filtering semantics beyond what the schema provides, so the baseline score of 3 applies.

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 names a specific resource, San Francisco police incident reports, and the exact source dataset wg3w-h783, along with the fields returned. It clearly distinguishes itself from generic open-data siblings, though it implies retrieval rather than stating a direct verb.

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?

It gives no explicit guidance on when to use this tool versus alternatives in the large gov_* sibling set. The use case is inferable from the resource name, but there are no exclusions, prerequisites, or alternative-tool routing.

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