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

Annotations already declare readOnly, idempotent, and non-destructive, so safety is covered. The description adds genuinely new behavioral context: exactly what comes back (vouch/recommend counts, up to three 'whys' named only when the member signed, a link), the empty-result behavior ('Says so when the product has no signals yet'), and a downstream obligation to preserve the link and commission disclosure. That is real disclosure beyond the structured fields, though permissions/rate-limit behavior is unaddressed.

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?

Four tight sentences: purpose and input first, then return shape, then the empty case, then the presentation constraint. No filler or restatement of the title, and each sentence carries distinct information.

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 fully compensates by describing the return payload, the no-signal case, and the display requirement. For a single-parameter read-only lookup, an agent has everything needed to call it and to handle the result correctly.

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?

With one parameter at 100% schema coverage, the schema already documents the name-or-URL form including examples. The description's 'by name or website URL' restates that without adding format, normalization, or ambiguity-resolution guidance (e.g. what happens on a partial or misspelled name).

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 and resource ('Look up one software product on Warmlink') plus the accepted identifiers (name or website URL) and the cardinality constraint ('one'). This clearly separates it from siblings like vouch, recommend, and my_vouches, which act on the caller's own data rather than looking up a product.

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 lookup framing implies when to call it, and the scope word 'one' signals it is not a batch or search-list tool. However, it never names an alternative (e.g. use vouch to add a recommendation, my_vouches to see your own) or states an exclusion, so routing between siblings is left to inference.

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