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

Beyond the annotations, the description adds meaningful behavior: it is read-only and spends no credits, returns 20 per page, explains status semantics such as waiting_for_review, and clarifies that employer-confirmed status requires a receipt or confirmation page.

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 and every clause is largely useful, but it is a dense single paragraph with many nested details. It could be slightly easier to scan, though it does not waste space on 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?

Given an output schema, optional parameters, and full annotation coverage, the description is complete enough for an agent to choose and call the tool. It covers purpose, alternatives, statuses, pagination, and the read-only/no-credit behavior.

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 all three parameters. The description still adds useful meaning by explaining application_id single-read behavior, page size, and the operational meaning of waiting_for_review and employer confirmation.

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: listing the user's applications or reading one by application_id. It also clearly distinguishes the two modes and explicitly separates this read tool from getmattered_review_application, which acts on applications.

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 use cases: checking progress, finding applications waiting for approval, and verifying employer confirmation. It also states when not to use it and names the alternative tool for acting on an application.

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