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paladini

devutils-mcp-server

json_validate

Validate a JSON string and identify parsing errors with their approximate location.

Instructions

Validate a JSON string and report any parsing errors with their approximate location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesThe JSON string to validate
Behavior3/5

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

With no annotations, the description carries full burden. It discloses that validation errors are reported with location, which is adequate for a simple tool. However, it does not specify the return format or whether exceptions are thrown, leaving some ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that is front-loaded with the core functionality. Every word adds value, with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

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 explain what the tool returns (e.g., boolean, error object). It mentions reporting errors but not the format, leaving the agent without critical return value information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% coverage with a clear description of the 'input' parameter as 'The JSON string to validate'. The description adds no additional semantics beyond the schema, so baseline score is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'validate', the resource 'JSON string', and the output 'parsing errors with their approximate location'. It effectively distinguishes from siblings like json_format and json_path_query by focusing on validation and error reporting.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidelines are provided. There is no mention of when to use this tool versus alternatives such as json_format or json_path_query, nor any exclusion criteria or prerequisites.

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

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