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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered; the description adds genuinely new behavior — that competitor price references and GitHub star counts are resolved to live values before returning, which tells the agent the numbers are fresh rather than cached. It does not state error behavior for an unknown slug, but that is a minor gap against otherwise strong coverage.

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?

Three sentences, front-loaded with the action and lookup key, then the returned payload, then the one non-obvious behavioral note about live resolution. No filler and nothing buried.

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?

An output schema exists, so enumerating return fields is technically bonus rather than necessity, and the description still flags the live-resolution behavior that a schema cannot convey. What remains missing is what happens on an invalid or unknown slug — the one thing an agent needs to handle failure.

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 a single parameter at 100% schema coverage and a concrete example list in the schema, the schema already does the work. The description reinforces the lookup key ('by its slug identifier') but adds no format, casing, or resolution rules beyond that, so the 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+resource+lookup key: 'Get full structured details for a specific AI agent by its slug identifier.' This implicitly contrasts with the search_* siblings (which take query terms, not slugs), but it never names them, so differentiation is inferential rather than explicit.

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 'by its slug identifier' phrasing implies you should already know which agent you want, which is the de facto condition separating it from search_agents. However, there is no explicit when-to-use statement, no mention of falling back to search_agents to obtain a slug, and no exclusions.

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