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MySQL MCP Server

MySQL Describe Table

mysql_describe_table
Read-only

Get detailed information about a table's structure, including columns, data types, and constraints, for schema analysis.

Instructions

Get detailed information about a table's structure including columns, types, and constraints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoAlias for table
tableNoTable name to describe
tableNameNoAlias for table

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
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds useful detail about the returned information (columns, types, constraints), enhancing transparency without contradicting annotations.

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, front-loaded sentence with no superfluous words, effectively conveying the tool's purpose.

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

Completeness5/5

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

Given the presence of an output schema and clear annotations, the description sufficiently explains what the tool does. It mentions key elements (columns, types, constraints) without over-explaining.

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 the schema already documents all parameters. The description does not add additional meaning to parameters; it only vaguely mentions 'table's structure'.

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 ('Get') and resource ('table's structure'), clearly distinguishing it from sibling tools like mysql_list_tables or mysql_get_indexes.

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

Usage Guidelines4/5

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

The description provides clear context on what the tool does (describe table structure), but does not explicitly state when to use it over alternatives or exclusions.

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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