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ImRieul

MySQL MCP Server

by ImRieul

describe_table

Show the schema and structure of a MySQL table, including column names, data types, constraints, and comments to understand database organization.

Instructions

Show the schema/structure of a table, including column names, types, constraints, and comments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesTable name to describe.
databaseNoDatabase name. Uses the current database if omitted.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It describes the output content but does not disclose behavioral traits such as whether it requires specific permissions, how it handles non-existent tables, if it's read-only, or any rate limits. This is a significant gap for a tool with no annotation coverage.

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, efficient sentence that front-loads the core purpose and lists specific output details without waste. Every word earns its place, making it highly concise and well-structured.

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 no annotations and no output schema, the description is moderately complete for a simple read operation. It covers the purpose and output content but lacks behavioral context like error handling or permissions. This is adequate but with clear gaps in transparency.

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 description coverage is 100%, so the schema already fully documents both parameters (table and database). The description does not add any meaning beyond what the schema provides, such as examples or constraints on table names. Baseline 3 is appropriate when the schema does the heavy lifting.

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 clearly states the specific action ('show the schema/structure') and resource ('a table'), with explicit details on what information is included ('column names, types, constraints, and comments'). It distinguishes from siblings like list_tables (which lists names only) and query (which executes queries).

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 viewing table metadata, but does not explicitly state when to use this tool versus alternatives like describe_all_tables (for all tables) or list_tables (for names only). No exclusions or prerequisites are mentioned, leaving usage context somewhat inferred.

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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