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aparajithn

agent-utils-mcp

by aparajithn

tool_json_validate

Validates a JSON string and returns the parsed object, or provides a detailed error message when validation fails.

Instructions

Validate a JSON string. Returns parsed object or detailed error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
json_stringYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations are absent, so the description carries full responsibility. It discloses both success behavior ('Returns parsed object') and failure behavior ('or detailed error'), which is sufficient for a pure validation tool. No side effects or prerequisites are mentioned, but none are expected.

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 sentence with a clear subject and outcome. Every word contributes, and the core information is front-loaded. No filler or redundancy.

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

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter, read-only utility, the description covers the core behavior and both possible return states. The existence of an output schema covers return-value details. It lacks only explicit usage guidance, which is already penalized in that dimension.

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

Parameters2/5

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

The input schema has no description and 0% coverage. The description's 'JSON string' essentially restates the parameter name 'json_string' and adds no extra meaning about syntax, edge cases, or expected format. For a single self-descriptive parameter this is minimally viable, but the description does not compensate for the schema gap.

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 uses a specific verb and resource: 'Validate a JSON string.' It clearly states the outcome ('Returns parsed object or detailed error'), so an agent can immediately understand what this tool does and distinguish it from formatters or converters.

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

Usage Guidelines3/5

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

The description implies a clear use case—validating a JSON string—but it provides no explicit when-to-use vs. alternatives, such as tool_json_format or tool_json_to_csv. The context is inferable, but there is no direct guidance or exclusion.

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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