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MySQL MCP Server

MySQL JSON Contains

mysql_json_contains
Read-only

Locates database records where a JSON column contains a specified value, with optional path and WHERE filters.

Instructions

Find rows where JSON column contains a specified value.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
colNoAlias for column
sqlNoAlias for where
nameNoAlias for table
pathNoOptional JSON path to search within
limitNoMaximum rows to return
queryNoAlias for where
rowIdNoAlias for where (used with idColumn)
tableNoTable name (Anti-Hallucination: Pass 'table', not 'tableName')
valueNoValue to search for (Anti-Hallucination: Pass 'value', not 'candidate')
whereNoOptional WHERE clause (Anti-Hallucination: Pass 'where', not 'query' or 'sql')
columnNoJSON column name (Anti-Hallucination: Pass 'column', not 'col')
filterNoAlias for where
targetNoAlias for value
containsNoAlias for value
idColumnNoAlias for where (used with rowId)
candidateNoAlias for value
conditionNoAlias for where
tableNameNoAlias for table
columnNameNoAlias for column

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, making the read-only behavior clear. The description adds minimal behavioral context beyond 'finds rows', which is already implied by annotations. It does not disclose internal behavior like use of JSON_CONTAINS function.

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 efficiently communicates the core functionality. No unnecessary words, and it appears front-loaded with the key action.

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

Completeness3/5

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

Given the output schema exists, return values need not be described. However, the tool has 19 parameters with many aliases, and the description offers no guidance on which to use or how parameters like path and where interact. It is minimally acceptable but leaves gaps in practical usage.

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%, so each parameter has a description, many marked as aliases. However, the description does not clarify primary parameters or explain how to use them effectively. The aliases add redundancy without semantic enhancement, leaving the agent to rely solely on schema labels.

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

Purpose4/5

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

The description clearly states the tool finds rows where a JSON column contains a specified value, which is a specific verb and resource. However, it does not distinguish from sibling tools like mysql_json_search or mysql_json_extract, limiting its clarity in context.

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 guidance on when to use this tool versus alternatives. There is no mention of preferred parameters or conditions under which this tool is appropriate, leaving the agent to infer usage from the name alone.

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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