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arsyadal

MS SQL Server MCP Server

by arsyadal

mssql_describe_table

Inspect table structure to retrieve columns, data types, nullability, max length, and primary keys for schema analysis.

Instructions

Get table metadata including columns, data types, nullability, max length, and primary keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNoSchema name (default: dbo)
databaseNoTarget database name
table_nameYesName of the table to inspect
Install Server

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It usefully discloses the contents of the returned metadata but does not state that the operation is read-only, how errors are handled for missing tables, or whether a database parameter is required.

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?

A single sentence, front-loaded with the verb and resource, enumerates the key metadata fields without redundancy. Every word contributes meaning.

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

Completeness4/5

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

For a straightforward describe operation, the description covers the essential return content. Since no output schema exists, the explicit list of metadata fields partially compensates, though it omits response shape and failure semantics.

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 covers 100% of parameters with descriptions, so the schema does the heavy lifting. The tool description adds no additional parameter-level details, making baseline 3 appropriate.

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?

States a specific verb ('Get') and resource ('table metadata'), and enumerates exactly what is returned (columns, data types, nullability, max length, primary keys). This clearly distinguishes it from siblings like mssql_list_tables or mssql_execute_query.

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 explicit guidance on when to use this tool vs alternatives, and no mention of prerequisites such as needing an active connection or specifying a database. Usage is only implied by the tool name and description.

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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