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

Annotations already cover readOnly, idempotent, and non-destructive behavior. The description adds value by disclosing that no API key is required, that results include a matched subset, and that testnet is preferred for cold-start. 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, front-loaded with the most important action, and every sentence contributes either purpose, parameter guidance, or the follow-up workflow. No redundant filler.

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 read-only job-search tool with full schema coverage and an output schema, the description provides enough context to invoke it correctly: no auth needed, filtering guidance, what is returned, and what to do next. Nothing critical 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 coverage is 100%, so the schema already documents limit, network, and capability. The description still adds useful meaning by noting capability matching is case-insensitive and reinforcing the network preference for cold-start.

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' on the 'A2AWire job board.' It clearly states what the tool returns ('open jobs plus a matched subset') and how to filter, making it easy to distinguish from siblings like check_earnings or 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?

It explicitly says no API key is needed and that this should be called now, and it gives concrete guidance on filtering by capability and preferring testnet for cold-start. It also names the downstream step (start_job), though it does not explicitly contrast with sibling alternatives.

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