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

With no annotations, the description carries the full burden and does well: it discloses provenance (every launched listing is ownership-verified via DNS TXT, meta tag, or domain email), that alternatives are bundled, and that verified_metrics appears only conditionally when fresh data exists. It does not cover failure behavior (e.g., what happens for an unknown or unlaunched slug) or whether the call is read-only/safe in annotation terms.

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 sentences, each carrying distinct information: the field inventory, the verification provenance, the bundled alternatives, and the conditional verified_metrics field. The verb and identifier are front-loaded; only the alternatives clause feels slightly tacked on.

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 annotations, so the description must explain the return shape itself, and it does so by enumerating fields plus the conditional verified_metrics and bundled alternatives. What remains missing is error/empty-result behavior for an invalid or unlaunched slug.

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 coverage is 100% and the single slug parameter is already documented with an example and its source, so the schema does the heavy lifting. The description adds nothing about slug format, case sensitivity, or lookup failure beyond naming it as the identifier; baseline 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 and resource ('Fetch the full Toolfound listing for a product by slug') and enumerates exactly what comes back: description, tagline, pricing model, tags, socials, vote count, launch date, verification status, canonical URL. An agent can distinguish it from search_tools or get_alternatives without opening the schema, especially since it explicitly notes it already bundles top alternatives.

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: the schema note says the slug comes 'from search results or the listing URL,' which suggests the search-then-fetch flow, and the mention that top alternatives are included weakly undercuts a separate get_alternatives call. There is no explicit statement of when to prefer this vs. search_tools, get_alternatives, or check_verification.

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