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

The description adds genuine value beyond the annotations: it discloses that assessment.status is internal-only, that English codes must be translated into statusLabel/summary/professionalConsultation for users, and that the tool must not definitively assert eligibility/selection. This aligns with openWorldHint=true via the 'unconfirmed items' notion and responseGuidance follow-through. No contradiction with annotations (readOnlyHint=false is consistent with an evaluative, non-read-only tool).

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 core purpose is front-loaded in the first sentence, followed by essential output-formatting rules. It is dense — a single long paragraph — but every clause earns its place given the complex output requirements (internal vs user-facing fields, category separation, follow-up behavior). Slightly long, yet justified.

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 responsibly carries the burden of explaining the return contract: it names the key output fields (statusLabel, summary, professionalConsultation), the internal status, the evaluation categories, and directives about responseGuidance and re-confirming prerequisites. What's missing is differentiation from the near-duplicate sibling and clarification of company_profile semantics, leaving modest but real gaps.

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 50%: subsidy_id is well documented in the schema ('search_subsidies returned J-Grants subsidy ID'), but company_profile has no top-level description and its five nested fields carry only constraints, no meaning. The description maps generally to both params ('J-Grants details' and 'company profile') but does not elaborate on how fields like capital_yen, employee_count, or business_plans influence the evaluation, so it only partially compensates for the coverage gap.

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 states a specific verb+resource: it matches a specified subsidy's J-Grants details against a company profile and returns explicit matches, non-matches, and unconfirmed items separately. The purpose is unambiguous. However, it does not differentiate from the near-identically named sibling evaluate_subsidy_fit_for_company, leaving an agent to guess how the two evaluate-subsidy tools differ.

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 explicit statement of when to use this tool versus an alternative. Notably, the sibling list includes evaluate_subsidy_fit_for_company and estimate_program_selection_outlook, yet the description never routes the agent between them. The only guidance is a negative constraint — 'not a tool that asserts eligibility or selection' — which clarifies what it cannot do but not when to select it.

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