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MySQL MCP Server

MySQL JSON Validate

mysql_json_validate
Read-only

Check if a string is valid JSON and return a boolean result. Essential for verifying JSON data integrity before processing.

Instructions

Validate if a string is valid JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoAlias for value
jsonNoAlias for value
valueNoJSON string to validate
documentNoAlias for value
jsonStringNoAlias for value

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoError code (e.g. VALIDATION_ERROR, QUERY_ERROR)
dataNo
errorNoError message if operation failed
detailsNoAdditional error context
metricsNoToken estimation metrics
successYesWhether the operation succeeded
categoryNoError category (validation, query, connection, internal)
suggestionNoSuggested fix for the error
recoverableNoWhether the error is recoverable
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows it's safe. The description adds no extra behavioral context (e.g., whether it returns a boolean or throws errors), but with annotations present, a 3 is appropriate.

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 that is direct and front-loaded. No extraneous words or structure issues.

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?

Given the tool's low complexity and the existence of an output schema (not shown), the description is largely complete. It could mention the return type or behavior on invalid input, but the output schema presumably covers that.

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?

Schema coverage is 100% with all parameters described as 'Alias for value'. The description does not add meaning beyond the schema, such as explaining the alias mechanism or clarifying acceptable formats. Baseline 3 is correct.

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 'Validate if a string is valid JSON' uses a specific verb (Validate) and resource (JSON string), clearly distinguishing it from sibling tools that manipulate or extract JSON.

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 usage for validation but provides no explicit guidance on when to use this tool versus alternatives like json_contains or json_search. No when-not-to-use or prerequisite information.

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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