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

No annotations were provided, so the description carries the full burden of behavioral disclosure. It states the tool generates a 'minimal valid example' – implying it produces a simple, schema-conforming output – but does not disclose potential side effects, return format, or behavior on invalid schemas. Given the lack of annotations, this is insufficient for safety and expectation-setting.

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 no waste. It immediately states the action and object, achieving maximum clarity in minimal length.

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 tool is simple (one parameter, no output schema), but the description omits information about the returned example's format or any limitations. While not overly complex, the lack of annotations and output schema means the description should provide a bit more context about what constitutes 'minimal valid' and what the caller should expect. It is adequate but has clear gaps.

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 0%, so the description must compensate for the single 'schema' parameter. The phrase 'matching a JSON schema' clarifies that the parameter is a JSON schema and implies it is used to generate the example, which adds meaning beyond the bare 'object' type in the input schema. However, it does not explain expected structure or constraints on the schema, leaving room for ambiguity.

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 'Generate a minimal valid example matching a JSON schema' uses a specific verb ('Generate') and resource ('a minimal valid example matching a JSON schema'), clearly distinguishing it from sibling tools like validate, coerce, and repair. The purpose is unambiguous.

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 clear context that this tool is for generating an example from a schema, but does not explicitly state when to use it over alternatives or mention exclusions. Since the sibling tools have different purposes, the intended use is clear, but the description could be improved by explicitly noting it is for creating examples, not validating or transforming data.

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