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. Beyond that the description discloses nothing behavioral: no ranking/relevance behavior, no result-count expectations, no handling of empty or weak matches.

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 front-loaded sentence with an embedded example; it is tight and wastes no words. Its brevity is arguably under-specification rather than elegance, but structurally there is nothing to trim.

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?

For a two-parameter search tool with 0% schema coverage and no output schema, the description should say what a result looks like and what 'limit' controls. As written, an agent knows the intent but not the mechanics of invoking it.

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 description coverage is 0% for both parameters. The description's example implies 'query' is natural language describing intent, but it never names the parameter or explains 'limit' (1-20) or the minLength constraint on query.

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 (Find) and resource (launched tools, APIs and MCP servers) plus the semantic axis ('by what they do'), which separates it from list_launches and get_launch. It doesn't explicitly name those siblings, so differentiation is inferred rather than stated.

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 natural-language example 'send invoices from an agent' implicitly shows how to phrase a query and suggests semantic search rather than browsing. There is no explicit when-to-use/when-not guidance or routing versus list_launches.

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