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

Annotations already cover readOnlyHint and idempotentHint, so the bar is lower. The description adds genuinely new behavioral context: output shape (structured answers with EUR-Lex citations, proofs, memos) and a freemium gate — only the first 2 questions are answered without a Polar license key, with a checkout link for the rest.

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 sentences, front-loaded with the core action and platform targets, followed by return-value summary and the licensing caveat. Dense but each sentence carries distinct information; no 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?

An output schema exists, so return-value explanation is optional, and the description still summarizes outputs. It covers the freemium limitation, which is the main non-obvious behavior. Missing only explicit sibling routing, which is minor given the tool's specificity.

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 all five parameters are already documented in the schema (including the polar_license_key freemium behavior). The description adds no parameter-level syntax or format guidance beyond that, so the baseline 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?

States a specific verb (auto-fill) plus resource (batch of enterprise security, GDPR, and EU AI Act vendor questionnaire / RFP questions) and names concrete platform targets (OneTrust, SIG, Whistic, CAIQ). The 'batch' framing also implicitly distinguishes it from the sibling answer_procurement_question.

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 implies the use case (batch questionnaire/RFP questions) and explains the no-license fallback path, but never explicitly says when to use this over answer_procurement_question or the audit/dossier siblings, nor any prerequisites beyond the license key.

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