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

With no annotations, the description carries the behavioral burden. It materials that task text or inputs are discarded and 'returns connection methods', which is useful. However, it does not disclose side effects, auth requirements, cost implications of 'pay-per-call', or the shape of the returned result, leaving some behavioral uncertainty.

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?

The description is concise at only two sentences and leads with the core action. The only preventable word is that 'Task text discarded' could be clearer placed or worded, but there is no padding or redundant repetition of schema 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?

The tool has 9 optional schema parameters, no output schema, and no annotations. The description gives only a high-level outcome ('returns connection methods') and does not explain how a task maps to the correct inputs, what an agent should pass for a given use case, or what the result structure looks like. This is insufficient for reliable invocation.

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?

The input schema already documents all 9 parameters with explanations, so the baseline is 3. The description does not add much mapping between task categories (weather, search, scrape, voice) and the parameters such as city, query, or url; it relies on the schema without adding selection guidance.

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?

The description clearly identifies the tool as a finder of a public pay-per-call tool gateway, gives task examples (weather, search, scrape, voice), and states the output is connection methods. This is more specific than a tautology and gives the tool a distinct role, though it does not explicitly contrast itself with sibling tools.

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 phrase 'for a task such as weather, search, scrape, or voice' implies when the tool should be used, but there are no explicit exclusions, prerequisites, or alternatives. An agent gets partial guidance but must infer the boundary between this and sibling tools.

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