Approve an application for submission

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

Beyond annotations declaring a non-read-only, non-destructive operation, the description adds a critical constraint: packetHash must match current content and any later edit invalidates approval. This is meaningful behavioral context not present in 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?

Two sentences, front-loaded with the primary purpose followed by a key constraint. No redundant filler; every word earns its place.

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 captures the core purpose and constraint, but omits the fact that the decision field can be 'rejected' (despite the tool name), lacks workflow context (e.g., use after preview_application, before submit_application), and does not mention single vs batch scope. This is noticeable given many sibling tools.

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 low (25%, only packetHash has a description). The tool description adds key context for packetHash (must match current content exactly), but gives no semantic information for applicationId, note, or decision, leaving the decision enum (approved/rejected) unexplained.

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 the tool records a human decision authorizing submission, which is a specific verb and resource. It implies single-application scope via the applicationId parameter, but it does not explicitly differentiate from the sibling approve_batch tool, so it slightly misses full sibling differentiation.

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 implies this tool is used at the approval stage before submission, but provides no explicit exclusions or alternatives. The packetHash constraint hints at a required prior step (preview_application), but this is not stated explicitly.

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