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

Annotations already declare readOnly, idempotent, non-destructive, and open-world, so the safety profile is covered. The description adds meaningful value beyond that by disclosing what the tool returns (deficiency rate, audits reviewed, PDF link), which matters since no output schema exists.

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?

Three tight sentences with zero filler: what it returns first, then the input requirement, then disambiguating example queries. Front-loaded and every sentence earns its place.

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 no output schema, the description correctly compensates by naming the returned fields, and the annotations carry the safety profile. Ordering of results and how the PDF link is surfaced are unspecified, a minor gap for an otherwise self-sufficient read tool.

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 both 'firm' and 'limit' are already documented with examples and the 1-100/default-25 range. The description's 'partial match ok' merely restates the schema, adding no new syntactic or formatting detail. Baseline 3 applies when the schema does the heavy lifting.

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+resource ('PCAOB inspection history for an audit firm') and enumerates the returned fields (report year, Part I.A deficiency rate, audits reviewed, PDF link). This distinguishes it from sibling tools like pcaob_auditor_changes and pcaob_firm_engagements without the agent needing to open a schema.

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?

Gives concrete example queries ('has PCAOB found deficiencies at Deloitte', 'KPMG PCAOB inspection history') plus the required input convention (give a firm name, partial match ok), which makes the right invocation obvious. It stops short of naming an alternative sibling or stating 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.