Skip to main content
Glama
TickHaiJun

MCP MySQL Server

by TickHaiJun

describe_table

Retrieve table structure details from MySQL databases to understand column definitions, data types, and constraints for database analysis and query planning.

Instructions

Get table structure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tableYesTable name
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. 'Get table structure' implies a read-only operation but doesn't specify what 'structure' includes (columns, types, constraints), whether authentication is needed, or how errors are handled. It lacks details about return format or any operational constraints.

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 extremely concise at just three words, with zero wasted language. It's front-loaded with the core purpose and doesn't include any unnecessary elaboration.

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?

For a tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'table structure' means in practice, what format the information returns in, or how this differs from related tools. The agent would need to guess about the tool's behavior and output.

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?

The input schema has 100% description coverage, with the 'table' parameter clearly documented as 'Table name'. The description doesn't add any meaningful parameter semantics beyond what the schema already provides, so it meets the baseline for high schema coverage.

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 'Get table structure' clearly states the verb ('Get') and resource ('table structure'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'list_tables' or 'query', which might also provide table information in different ways.

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?

The description provides no guidance on when to use this tool versus alternatives like 'list_tables' (which might list table names) or 'query' (which might retrieve table data). There's no mention of prerequisites, context, or exclusions for usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/TickHaiJun/mysql-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server