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MySQL MCP Server

MySQL JSON Remove

mysql_json_remove

Remove specified JSON path values from columns in MySQL tables using a WHERE clause to target rows.

Instructions

Remove values from JSON columns at specified paths.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
colNoAlias for column
keyNoAlias for single path to remove
sqlNoAlias for where
keysNoAlias for paths
nameNoAlias for table
pathNoAlias for single path to remove
pathsNoJSON paths to remove (Anti-Hallucination: Pass 'paths', not 'path' or 'keys')
queryNoAlias for where
rowIdNoAlias for where (used with idColumn)
tableNoTable name (Anti-Hallucination: Pass 'table', not 'tableName')
whereNoWHERE clause to identify rows (REQUIRED. Anti-Hallucination: Pass 'where', not 'query' or 'sql')
columnNoJSON column name
filterNoAlias for where
idColumnNoAlias for where (used with rowId)
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
Behavior2/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, but the description adds no behavioral context beyond removing values. It does not disclose that this is a write operation requiring write permissions, or whether changes are reversible. The description is insufficient to understand side effects.

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

Conciseness4/5

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

Single sentence, front-loaded with action and object. Efficient but could benefit from a second sentence clarifying typical usage or parameter requirements without becoming verbose.

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 the complexity (17 parameters, many aliases) and existence of output schema, the description lacks completeness. It does not explain how to specify paths, required parameters (e.g., table, column, where), or what the output looks like. A more detailed description is needed for accurate tool invocation.

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?

Input schema covers all 17 parameters with descriptions, achieving 100% coverage. The description adds no parameter-level context. Baseline score of 3 is appropriate since schema does the heavy lifting, but the aliasing and 'Anti-Hallucination' notes in schema are not reinforced in the description.

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?

Description clearly states the tool removes values from JSON columns at specified paths, distinguishing it from other JSON mutation tools like insert, set, replace, and update. However, it lacks mention of whether it modifies in-place or returns results.

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 (e.g., mysql_json_replace, mysql_json_set). No exclusions or prerequisites mentioned. The description is too brief to help an agent decide.

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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