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

With no annotations, the description carries the full burden. It discloses that the tool is read/synthesis-oriented, produces a sourced JSON brief, and supports status polling and result retrieval. However, it does not explain whether a job must be created first, how long polling might take, or whether there are authentication or rate-limit considerations.

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 compact and front-loaded with the core value proposition, then gives actionable next steps with the sample endpoint. Every sentence contributes useful information without unnecessary padding.

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 tool with no output schema and no annotations, the description leaves key invocation details unclear: the exact endpoint to create a job, how the 'subject' parameter is sent, what the polled status response looks like, and how the final JSON brief is structured. The sample GET /jobs/sample helps but does not fully compensate for these gaps.

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 only parameter, 'subject', has no schema description and the overall schema description coverage is 0%. The description never explicitly says that 'subject' is the research topic, query, or input text, so the agent must infer this from the tool name and surrounding text. This is a significant gap for a required parameter.

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 states that the tool performs multi-query web research and returns a synthesized, sourced JSON brief in one call. This distinguishes it from a plain search tool, though it never explicitly names the 'search' sibling or defines the async job lifecycle.

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?

It provides clear context: use this for broad research that would otherwise require many individual search calls. It also mentions free status polling and result retrieval, but it does not explicitly state when to prefer 'search' over 'jobs' or list exclusions.

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