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

The description discloses non-obvious behavior: responses include a provenance chain and Ed25519 attestation, and the call costs $0.01 via x402. These go beyond the schema. It doesn't mention auth requirements or failure modes, but for a simple lookup the key side effects (cost, signing) are covered.

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 one compact, front-loaded sentence covering dataset, source, behavior, provenance, and cost. No redundant restatement of the tool name or filler.

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?

It conveys the essential selection criteria (HHS Child Victims Trend data, single-record lookup, paid) but omits the identifier format, dataset version/source reference, and any differentiation from sibling lookups. Enough for a simple lookup, but not fully self-contained.

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?

The only parameter appears to be an identifier, but the description only restates that the tool returns 'one record by its identifier' without explaining the identifier format, source, or how to obtain it. This adds minimal meaning beyond the schema.

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 identifies the specific HHS dataset ('Child Victims Trend'), the action (return one record by identifier), and key output characteristics (provenance chain and Ed25519 attestation). It lacks an explicit main verb like 'retrieves', but the intent is unambiguous and the dataset name distinguishes it from similar sibling lookups.

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 guidance is given about when to choose this tool over the many sibling lookup tools (e.g., auto_child_fatalities_trend_lookup). There is no mention of prerequisites, identifier format, or alternative tools, so the agent has no support for decisions beyond the dataset name.

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