json_format

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

No annotations are provided, so the description carries the full burden. It describes the tool's action (parse, reformat) and mentions validation, but does not specify error behavior, return format, or that the output is a string. Basic behavior is covered but lacks details.

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 two sentences with no redundant words. The first sentence defines the action, and the second summarizes use cases. Efficiently front-loaded.

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 no output schema, the description should explicitly state that the output is a reformatted JSON string. It mentions pretty-printing and minification but does not directly describe the return value. For a simple transform tool, this is a minor gap.

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 coverage is 100% (both parameters documented). The description adds value by explaining indent levels (0=minified, 2=standard) and hints at validation for the json parameter, going beyond the schema's basic type/requirement info.

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 parses and reformats JSON with configurable indentation. It explicitly mentions pretty-print, validate, and minify use cases, distinguishing it from siblings like json_query (querying) or other format tools.

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 says 'Use to pretty-print, validate, or minify JSON', which implies the tool's purpose but does not provide explicit when-not-to-use guidance or alternatives. It leaves the agent to infer from sibling names.

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