tool_json_parse

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

There are no annotations, so the description must disclose behavior itself, but it only says 'string' as input and 'json' as output. It fails to mention what constitutes valid input, how errors like malformed JSON are handled, or any side effects. This is insufficient for an agent to predict tool behavior.

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 brief but under-specified—it is not conciseness that removes fluff but rather a lack of substance. While the 'Parameters' / 'Outputs' structure is tidy, the content merely restates the schema labels and offers no additional insight. More useful detail would be required to earn a higher score.

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?

With no annotations, no output schema, and a misleading input schema (including both 'json' and 'string'), the description is far from complete. It gives no indication of the expected input format, the shape of the returned JSON, or any edge-case behavior. An agent cannot confidently use this tool based solely on the provided definition.

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?

Although schema coverage is 100%, the schema's descriptions are just 'JSON' and 'String', which add little semantic value. The description's parameter list only mentions 'string', omitting the 'json' property that appears in the input schema. This creates ambiguity and does not clarify what each parameter means or how they interact, so it falls below the baseline.

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 is essentially a restatement of the tool name: 'JSON Parse' appears in a heading. It does not clearly specify the action (e.g., 'Parses a JSON string into structured JSON data') or distinguish this tool from siblings like tool_json_format, tool_json_stringify, or tool_yaml_to_json. The generic language adds no unique 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 provided about when to use this tool versus alternatives. The description does not mention any prerequisites, expected input formats, or contexts where this is the preferred choice. It simply lists a parameter and output without any situational advice.

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