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

No annotations and no output schema, so the description carries the full behavioral burden. It discloses that inference is 'basic' and lists what is inferred (types, object properties, array item type), but it omits limitations, error behavior, input format expectations, and what the resulting schema does not cover.

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?

A single front-loaded sentence that states the action, scope, and inferred features with no wasted words. It is appropriately sized for a simple tool.

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 nested object parameter, zero annotations, and no output schema, the description is too thin. It does not explain the expected input shape, the limits of the 'basic' inference, or how the result is structured, leaving the agent with gaps before invocation.

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 has 0% description coverage, so the description must compensate. It indicates that an example document is the input, which adds some meaning, but it does not explain the nested payload.data structure or clarify where exactly the example document should be provided.

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 a specific verb (infer) and resource (JSON Schema) with scope (basic, from an example document). It clearly differs from siblings like json_validate and json_query, but it does not explicitly name any alternative tool, so sibling differentiation is implicit rather than explicit.

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 gives no guidance on when to use this tool versus alternatives, nor any prerequisites or when-not conditions. It merely states what the tool does, leaving the agent to infer the use case from the action alone.

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