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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description then adds real behavioral value beyond that: one row per product with page and quote, plus a coverage report of how many products in the category have a digested datasheet. Auth and rate-limit behavior remain unstated.

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 purpose and scope are front-loaded in the first clause, followed by the concrete key examples and the return shape. The key list is long but earns its place because it documents an otherwise-undescribed parameter; no filler sentences.

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 carries the return-format burden and does so by specifying row-per-product with page and quote plus a coverage count. For a 3-parameter, single-category read tool this is nearly complete; only when-to-use guidance and auth requirements are absent.

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?

Only one of three parameters has schema coverage (33%), and the undocumented 'key' parameter is the important one. The description compensates well by enumerating example keys (connector, survival_temperature, trl, export_control, price...), effectively documenting the vocabulary the 'key' field accepts. The 'contains' filter is described in the schema itself.

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 a specific verb and resource: pulling one fact key across an entire product category, and it gives a concrete list of example keys (connector, data_interface, protocol, etc.), so an agent knows exactly what query this serves. It does not explicitly differentiate itself from siblings like get_datasheet_digest or ask_datasheet, which keeps it short of a 5.

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?

Usage is only implied by the shape of the result ('one fact key across a whole category'); there is no statement of when to pick this over ask_datasheet or get_datasheet_digest, and no exclusions or prerequisites. The agent must infer the trigger condition from the description alone.

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