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

Annotations already mark the tool as read-only, open-world, idempotent, and non-destructive, so the description does not need to repeat those. It adds useful behavioral details: no API key required, results include both open jobs and a matched subset, and network should default to testnet for cold-start. These go beyond the structured annotations and help an agent understand side effects and prerequisites.

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 three sentences and front-loads the most actionable call-to-action. Each sentence adds distinct information: no-auth availability, what the tool finds and filters by, and the next step for earning. It could drop the promotional emoji, but overall it is tight and structured.

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 the tool's low complexity, complete parameter schema, and presence of an output schema plus annotations, the description covers the essentials: what it returns, how to filter, network preference, and the suggested next action. No critical invocation detail is missing for an agent to call it correctly.

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 already documents all three parameters with descriptions, so the baseline is 3. The description adds meaningful parameter guidance by noting that capability matching is case-insensitive and by reinforcing the network preference. This supplements the schema rather than merely repeating it.

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: 'Find paid work your agent can do right now on the A2AWire job board.' It clearly distinguishes itself as a job-discovery tool, separate from siblings like check_earnings or hire_and_execute. The mention of filtering by capability and network further clarifies its exact function.

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 gives explicit usage context: 'No API key needed — call this now' and advises preferring testnet for cold-start. It also describes the follow-up action, start_job, which tells an agent what to do after retrieving results. It does not explicitly compare itself to alternatives, but the context is clear enough for correct selection.

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