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

With no annotations, the description carries the full burden of behavioral disclosure. It states the validate and pretty-print operations but does not mention what happens on invalid JSON (error vs. fallback), whether whitespace/indentation is configurable, or side effects (none expected).

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, front-loaded with the core actions. Every word earns its place, and there is no filler or redundant repetition of the title.

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?

For a one-parameter utility with an output schema, the description is close to sufficient: it names the operation and the input. However, it omits error-handling behavior and any constraints on the input string, which an agent would need to anticipate failures correctly.

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. The phrase 'Validate + pretty-print JSON' implies the 'json' parameter is the JSON string to process, which aligns with the schema. However, it adds no detail about expected format (e.g., stringified JSON), size limits, or special handling.

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 clearly states the tool validates and pretty-prints JSON, using a specific verb and resource. It does not explicitly differentiate from siblings like json_diff or json_to_csv, but the action is distinct enough that an agent can infer its purpose.

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?

No guidance is given about when to use this tool instead of alternatives. The description does not mention scenarios such as 'use when you need to check JSON validity or format it for readability' or exclude cases like diffing or converting JSON.

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