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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower; the description adds real value by explaining what each result state means (already read, mentioned but unread, absent from datasheet, no datasheet at all) and the recommended action per state. It still doesn't describe the response shape or pagination/limits, keeping it short of a 5.

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?

A single dense sentence with parenthetical clarifications; every clause carries information and the enumeration of statuses is front-loaded. The heavy parenthetical nesting slightly taxes readability, but there is 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?

There is no output schema and no annotation-level detail on returns, so the description should do more than explain status values — it omits how results are shaped and how company_id/product_id/category scope the query. Adequate for a read-only lookup tool, but not complete given the 0% schema coverage.

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% with 4 parameters, so the description must compensate. It nicely explains the four `status` enum values (in_digest, in_datasheet_text, not_in_datasheet, no_datasheet), but says nothing about the `category` enum, `company_id`, or `product_id`, leaving half the parameters unilluminated.

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 names a specific verb-phrase ('find what is missing') and the resources it operates on (product, company, category), framing the tool as a gap analysis over datasheet coverage. It does not explicitly name or contrast any sibling (e.g., get_datasheet_digest or search_datasheet_facts), so it is clear but not sibling-differentiating.

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 closing line 'For vendors: what to publish; for buyers: what to ask' implies audience-driven use, but no explicit when-to-use-this-vs-another-tool guidance or prerequisites are given. Usage context is only weakly implied.

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