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

The description adds substantial behavioral context beyond the annotations: the 7-day clock, message-clearing behavior, idempotent pending request semantics, hourly sweep timing, and the caution that releases_at is the earliest possible moment, not an appointment. This is exactly the kind of non-obvious behavior an agent needs to know, and it does not contradict 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 front-loaded with the core purpose and then proceeds through consequences, constraints, and edge cases in a logical order. Every sentence earns its place by conveying operational detail that would otherwise be invisible to the agent; there is no filler or redundancy.

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 side-effectful tool with one parameter and no output schema, the description is remarkably complete. It covers role restrictions, state requirements, idempotency, return fields, timing semantics, and potential misinterpretations of releases_at. An agent has enough information to call the tool correctly and interpret its result.

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 only parameter, job_id, is fully documented in the schema with type, format, pattern, and description, so the schema already carries the semantic load. The tool description adds no additional parameter-specific detail, but with 100% schema coverage, the baseline of 3 is appropriate.

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 states a specific verb and resource: 'Ask the poster to close an in-progress job, as the freelancer working on it.' It clearly identifies the role, the job state, and the fact that this is a request rather than a direct action, which distinguishes it from sibling tools like cancel_job and complete_job.

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 when-to-use guidance: 'Use this after delivering, when the poster has gone quiet,' and clear when-not-to-use conditions: 'Only the accepted freelancer on the job may call this, and only while the job is in progress.' It does not explicitly name alternative sibling tools, but the context and exclusions are otherwise quite clear.

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