d3p_json-formatter

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

No annotations are provided, so the description bears full responsibility. It discloses that the tool validates syntax, returns formatted output with stats, and provides error location with fix suggestions. This clearly indicates it is a read-only operation, uses validation, and imposes a 50KB size limit. No contradictions.

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 relatively concise but includes extraneous details like 'Category: code | Cost: 3 sats | Endpoint: json-formatter' in a line break format. The core description is front-loaded and clear, but the additional metadata could be integrated or omitted to improve conciseness.

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 moderate complexity and the presence of an output schema, the description is complete. It explains the return value (formatted output with depth/key stats or error location with fix suggestions) and the input constraints (max 50KB). No further details are necessary.

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 schema has one 'params' string parameter with 0% description coverage. However, the description explicitly documents the expected JSON string parameter (json_string, required, max 50KB), adding significant meaning beyond the schema. It compensates well for the lack of schema annotations.

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 it 'Pretty-print messy or minified JSON with syntax validation' and specifies the output includes depth/key stats or error location with fix suggestions. This is a specific verb ('pretty-print') and resource ('JSON'), and it distinguishes from sibling tools which cover different domains.

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 implies usage for formatting/validating JSON with a 50KB limit but does not explicitly state when to use versus alternatives or when not to use it. No sibling differentiation is provided beyond the tool's own purpose.

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