IvedaAI: LicensePlateCategory

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

Annotations already declare destructiveHint=true and readOnlyHint=false. The description adds behavioral context not in annotations: it documents the response JSON fields ('status', 'truncated', 'timedOut') and the file upload format (with path, filename, contentType). This goes beyond the structured annotations without contradicting them.

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 and well-organized: an introductory line, a list of operations with methods and paths, and inline parameter lists. Every sentence carries operational information. The structure makes it easy to scan and locate the needed endpoint.

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 covers all five operations, including their HTTP methods, paths, and parameter structures. However, it does not detail the response payload shape per operation beyond the global status/truncated/timedOut fields. Given the tool's complexity and the absence of an output schema, a bit more response detail would make it fully complete, but the current coverage is strong.

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?

Even with 100% schema description coverage, the description enriches parameters by tying them to specific operations. It marks required fields with an asterisk (e.g., 'name*'), specifies which parameters belong to the body, path, query, or file, and explains the file field format. This makes it clear how to invoke each operation correctly, which the generic schema alone does not provide.

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 resource ('LicensePlateCategory operations') and enumerates each API operation with HTTP method and path (e.g., 'GET /api/lpr/categories — List license plate categories'). This distinguishes the tool from sibling tools by naming the specific resource domain and supported actions.

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 usage for license plate category management by listing operations, but it does not explicitly state when to choose this tool over alternatives or provide exclusions. For example, it doesn't mention that license plate targets might belong in the 'license_plate_target' sibling tool. The context is clear but not comparative.

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