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dbmcp

dbmcp

by haymon-ai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Rust
Hybrid

Get Table Schema

getTableSchema
Read-onlyIdempotent

Retrieve column definitions and foreign key relationships for a specified table to understand its structure before writing queries.

Instructions

Get column definitions and foreign key relationships for a table. Requires table — call listTables first.

<what_it_returns> A JSON object with table and columns keyed by column name, each containing type, nullable, key, default, and foreignKey info. </what_it_returns>

Input Schema

NameRequiredDescriptionDefault
tableYesThe table name to inspect. Use `listTables` first to see available tables.

Output Schema

NameRequiredDescriptionDefault
tableYesName of the inspected table.
columnsYesColumn definitions keyed by column name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.13.2
  2. Removedv0.12.0
  3. Addedv0.11.0
  4. Removedv0.10.4
  5. First observedv0.8.0

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the tool is known to be safe. The description adds value by detailing what the tool returns (column types, nullable, keys, defaults, foreign keys) and the exact structure, which is beyond the 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 well-structured with separate sections (usecase, examples, what_it_returns) and is front-loaded with the main purpose. Every sentence is informative and no redundant content exists.

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 output schema exists (as indicated by context signals), the description covers all necessary aspects: purpose, usage prerequisites, parameter example, and return structure. It is complete and leaves no ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter 'table' is fully described in the input schema with coverage at 100%. The description reinforces the prerequisite 'use listTables first' and provides concrete examples of usage, adding more context than the schema alone.

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 'Get column definitions and foreign key relationships for a table', using a specific verb and resource. It distinguishes itself from sibling tools like listTables (which lists tables) and explainQuery, making its purpose unambiguous.

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

Usage Guidelines5/5

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

Explicit guidance is provided: 'ALWAYS call this before writing queries' and 'Requires `table` — call `listTables` first.' The <usecase> section and examples further clarify when and how to use the tool, including what to do before invoking it.

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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