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

With no annotations provided, the description carries full responsibility for disclosing behavior. It only states the high-level purpose without mentioning output format, limitations, or how edge cases (e.g., empty JSON, arrays) are handled. This is a minimal restatement rather than substantive behavioral disclosure.

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, front-loaded sentence with zero waste. It immediately states the core function, and no extra sentences are needed for a tool of this simplicity. 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 lacks essential context such as the return value format (e.g., a raw TypeScript string, a file, or a formatted block) and any usage prerequisites. Although parameters are documented in the schema, the absence of an output schema means the description should explain what the agent can expect, but it does not.

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 description coverage is 100%, with all three parameters (json, rootName, exportTypes) having clear descriptions and defaults. The tool description adds no additional parameter context, but the schema already provides sufficient semantics, so the baseline 3 applies.

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 uses a specific verb ('Infer') and resource ('TypeScript interface definitions from JSON samples'), clearly distinguishing this tool from siblings like json-to-csv or json-schema-validator. It states exactly what the tool does without any ambiguity.

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 provides no guidance on when to use this tool versus alternatives. There is no mention of use cases, exclusions, or comparisons to similar converters like json-to-csv or json-expert. A user must infer context from the tool name and schema alone.

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