api_analyzer

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states the high-level operations and does not mention side effects, network requests (e.g., when data is a URL), output format, error conditions, or reversibility. For a tool that can generate code and fetch remote responses, this is a significant transparency gap.

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 a single sentence with no filler words. Each clause corresponds to a distinct action and adds concrete information. It is front-loaded with the primary capability and remains easy to scan.

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 the tool has four parameters, two required, no output schema, and no annotations, the one-line description is insufficient. It does not explain that data2 is only for diff, that data must be a URL for sdk, what the generated output looks like, or what side effects may occur. An agent would need to infer too much to use the tool reliably across all three actions.

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 input schema covers data and data2 with descriptions, but action and lang lack descriptions. The description partially compensates by explaining the three actions and the Python/TypeScript language options, mapping to action and lang. However, it does not clarify parameter relationships such as data2 being needed for diff or that action defaults to schema. The addition of meaning over the schema is moderate, not outstanding.

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 specific verbs and resources for each mode: generate schemas, diff objects, create SDK boilerplate. It clearly communicates the three distinct capabilities of the tool and leaves no ambiguity about what it does. It is not a tautology and stands apart from the unrelated sibling tools.

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 lists what the tool can do but gives no guidance on when to use it, when not to use it, or which mode to choose in which situation. There are no explicit alternatives or exclusions. The agent must infer usage entirely from the action enum values.

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