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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is known. The description adds valuable behavioral context: the data source (FEC electronic filings), the cryptographically attested post-quantum signed settlement receipt, a verification URL, and the per-call cost ($0.10 USDC). This goes beyond the annotations and helps the agent understand provenance and pricing.

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 compact, front-loads the primary purpose, then adds source, use cases, attestation, and pricing. No sentence is purely filler; each contributes useful operational or selection information. It could be slightly tighter by moving pricing/verification to the end, but overall it is well-structured.

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 tool has one parameter with no schema description and no output schema, the description must explain what input the agent should provide. It does not explicitly define 'name', so an agent may not know what value to pass. The description also does not describe the return format beyond naming the data types. This is a critical omission for correct 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 0% for the only parameter, 'name'. The description does not explicitly define what 'name' refers to (e.g., a committee name, a candidate name, an organization). While the tool name and content suggest it might be a committee or entity name, the agent has to infer this, which is a significant gap given the schema provides no description.

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 states exactly what the tool provides: Federal campaign finance activity, enumerating PAC committees, total political disbursements, receipts, and political footprint signal. It clearly identifies the resource and the domain, which is sufficiently distinct from the many sibling tools that focus on benchmarks, signals, or other regulatory domains.

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 concrete use cases: 'Use for political risk monitoring and PAC compliance.' This clearly tells an agent when to apply the tool. It does not explicitly name alternatives or exclusions, but the context is clear enough for most selection tasks among the long sibling list.

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