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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds real value by previewing the payload contents (description, audience, setup difficulty, cost model, links, ranking history), which matters because there is no output schema, but it says nothing about failure behavior for a bad slug.

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 sentence that front-loads the scope ('one agent') and then lists the returned facets. No filler, no repetition of the title or name.

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 one required parameter, no output schema, and annotations covering safety, the description carries the remaining burden well by enumerating what the response contains. Missing only edge-case behavior (unknown slug, name ambiguity) to be fully complete.

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 slug property already documents its own provenance ('from another tool result, or its name'). The description adds no further semantics about slug format, case sensitivity, or name-vs-slug resolution, 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 clearly that this retrieves full details for a single agent, and the enumerated field list (what it does, cost model, links, ranking history) makes the resource concrete. It does not explicitly contrast with search_agents or the list-style siblings, but the singular 'one agent' scope makes the distinction reasonably obvious.

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: an agent can infer this is the drill-down call for a single known agent while get_rising/get_trending/search_agents produce lists. There is no explicit statement of when to prefer this tool, nor any mention of what to do if the slug is unknown or the agent doesn't exist.

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