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

Annotations already cover readOnlyHint, idempotentHint, and destructiveHint, so the description only needs to add extra behavioral context. It does so by noting that results include both open jobs and a matched subset, that capability filtering is case-insensitive, and that no API key is required. This adds value without contradicting the annotations.

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 most actionable information. Minor promotional phrasing like 'call this now' and 'begin earning' adds slight noise, but the rest of the description is efficient and every substantive sentence contributes to correct usage.

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 tool with three optional parameters and an output schema, the description covers the key invocation details, return behavior, and the next-step workflow to start_job. It does not need to explain return values because an output schema exists. The main gap is a lack of explicit guidance on when a sibling tool would be a better fit.

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 schema covers all three parameters with 100% coverage, so the baseline is 3. The description adds meaning beyond the schema by stating that capability filtering is case-insensitive, explaining the matched-subset behavior, and reinforcing the testnet preference for cold-start scenarios.

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 action, resource, and scope: 'Find paid work your agent can do right now on the A2AWire job board.' It states the tool's purpose with a specific verb and resource, and the sibling set confirms this is distinct from guides, earnings checks, and agent discovery 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 description provides strong practical guidance: no API key is needed, use testnet for cold-start, and call start_job afterward with a job_id. It does not explicitly state when not to use this tool or compare it against alternatives like discover_agents or get_recommended_action, which prevents a higher score.

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