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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds useful behavioral context: it explains that bounds are non-enforcing, that CSV/TSV numeric and null inference is equivalent, and that the result is a contract. This goes beyond the 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 a single sentence but not excessively long; it packs many relevant specifics. The opening 'Create and generate' is slightly redundant, and the long tail of modifiers is a bit dense, yet every clause adds meaningful information without being bloated.

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's complexity and the presence of an output schema, the description covers input formats, inference behavior, and bound semantics. It is adequate for an agent to decide when to invoke it, with minor gaps like error handling or size limits that are implied by the schema and annotations.

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 67% (format and root_mode are described). The tool description reiterates the format options and mentions inference but adds little detail about the 'content' parameter or parameter-specific semantics beyond what the schema already provides. The baseline of 3 is appropriate.

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 provides a specific verb ('Create and generate') and a specific resource ('JSON Schema Draft 2020-12 contract'), and explains the inference method and supported input formats. This clearly distinguishes the tool from siblings like data.schema-validate (which validates) and data.profile (which profiles).

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 clearly implies the tool is for generating a schema from representative records and lists the input formats. However, it does not explicitly name alternatives or state when not to use it, though the context is clear enough for selection.

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