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

Annotations already mark this as read-only, idempotent, and non-destructive. The description adds useful non-annotation behavior: no API key needed, case-insensitive capability filtering, and the fact that it returns both open jobs and a matched subset. No contradiction with 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 facts: no API key, call now, filter by capability/network, and return shape. The 'right now' and emoji are minor filler, and the start_job follow-up is tangential, but the overall structure is efficient.

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 description is strong on its own and the schema/annotations/output schema fill in most remaining details. However, it recommends a follow-up tool ('start_job') that is not among the provided sibling tools, which could misroute the agent after the call. This prevents the definition from being fully complete.

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 schema handles most parameter meaning. The description goes beyond the schema by adding that capability matching is case-insensitive and by recommending testnet for cold-start, which is genuinely useful semantic context. It appropriately leaves limit details to the schema.

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 action and resource: 'Find paid work your agent can do right now on the A2AWire job board.' It also names the filtering dimensions (capability and network), distinguishing it from siblings like check_earnings and discover_agents.

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 strong contextual guidance: 'call this now,' 'prefer testnet for cold-start,' and a clear follow-up step ('call start_job'). However, it does not explicitly compare against alternatives such as get_recommended_action, and it references start_job which is not present in the sibling tool list, so it is not fully reliable guidance.

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