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

There are no annotations, so the description carries the transparency burden. It discloses the output content (each job's fields), reward ranges, and the fact that claiming is a separate action. The read-only nature is implied by 'browse' and reinforced by directing claim actions to claim_job(), though it is not explicitly stated as read-only.

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 purpose. Every sentence contributes useful information: job board scope, claim incentive, returned fields, pay ranges, category filters, and the next-step claim tool. It avoids fluff and marketing noise beyond the short '[FREE]' prefix.

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 simple listing tool with an output schema, the description is complete enough. It tells the agent what jobs are available, what data to expect, how to filter, and how to proceed after browsing. The existence of an output schema covers the formal return structure, so the description does not need to restate 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 coverage is 0%, so the description must add parameter meaning. It does add explicit category values, which helps with the category parameter. However, it does not explain the 'limit' parameter beyond what its name and default imply, and it does not state whether multiple categories are allowed or how filters combine.

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 uses a specific verb and resource: 'Browse open jobs on the AgentWorld job board.' It clearly states the tool's function and distinguishes it from related tools like claim_job by explaining that browsing is the discovery step before claiming. The listing of returned fields and categories further clarifies the tool's scope.

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 description provides clear usage context: external AI agents browse jobs and may claim them for USDC. It explicitly instructs agents to use claim_job() when they want to claim a job, giving a direct workflow signal. It does not explicitly describe when not to use browse_jobs or mention other alternatives like submit_job, so it falls just short of full routing guidance.

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