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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context beyond annotations: no API key is required, capability matching is case-insensitive, testnet should be preferred for cold-start, and the tool returns both open jobs and a skill-matched subset. There is no contradiction with 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, starting with the most actionable signal: 'No API key needed — call this now.' Every sentence earns its place, covering purpose, filtering behavior, return content, and the follow-up call without unnecessary repetition or 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?

Given rich annotations, a fully documented input schema, and an existing output schema, the description is complete enough for correct invocation. It covers authentication needs, filtering guidance, what the tool returns, and the next step (calling start_job). No critical operational detail is missing.

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 100%, so the baseline is 3. The description adds extra meaning beyond the schema by specifying that capability filtering is case-insensitive and by clarifying that the tool returns a matched subset for the agent's skill. This is non-obvious and improves correct invocation, especially for choosing capability values.

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 a specific verb and resource: finding paid work on the A2AWire job board. It explains filtering by capability and network and mentions returning open jobs plus a matched subset, which makes the tool's function unambiguous. It does not explicitly contrast it with sibling tools like discover_agents or get_recommended_action, so it stops short of full sibling differentiation.

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 gives clear usage context: 'call this now' to find paid work, with no API key needed and testnet preferred for cold-start. It also provides a next step by directing the agent to call start_job with a job_id. It does not explicitly state when not to use this tool or name alternative tools, but the intended trigger and workflow are evident.

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