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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered externally. The description adds only a public-domain/legal citation note — it says nothing about what records come back, whether results are paginated or capped, or how current the data is, despite there being no output schema to fill that gap.

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?

One short sentence with the resource front-loaded and no filler prose. The parenthetical legal citation is of marginal but non-zero value, signaling the data is public and citable.

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 one-parameter read tool with annotations covering safety, the definition is adequate to attempt a call. It is incomplete in that an agent cannot tell whether the results are filtered (date range, product type) or what fields are returned, and there is no output schema to answer that.

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%, and the single 'company' parameter is documented with an example ('Wells Fargo, Equifax'). The description adds no matching semantics (e.g., exact vs partial name matching, whether subsidiaries match), so the baseline of 3 for full schema coverage 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?

States a specific verb ('Query') and a concrete resource ('US Consumer Financial Protection Bureau (CFPB) complaint database'), which is enough for an agent to know this retrieves complaints about companies. It does not explicitly distinguish itself from the nearest siblings (fdic_bank_health, corporate_kyb_and_risk_dossier), so it falls 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?

There is no when-to-use guidance, no exclusions, and no named alternatives among the 23 sibling tools. The agent must infer that this is for consumer-complaint lookups tied to a single company name rather than, say, bank financial health or KYB data.

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