Skip to main content
Glama
tsod

mssql-pyodbc-mcp

by tsod

query

Run a read-only SELECT query to fetch up to 100 rows from a Microsoft SQL Server database.

Instructions

Execute a read-only SELECT query and return at most 100 rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Discloses read-only nature and row limit, but does not specify error handling or behavior for non-SELECT statements. Since no annotations exist, the description carries the full burden but only partially addresses it.

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?

Single sentence, no wasted words, front-loaded with critical constraints.

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?

Low complexity and an output schema exist; description covers the essential behavior, though it could mention permissions or query validation.

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

Parameters2/5

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

Only one parameter (sql) with 0% schema description coverage; the description adds no additional meaning or examples beyond the schema's type string.

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 it executes a read-only SELECT query and returns up to 100 rows, distinguishing it from sibling tools like describe_table and list_tables which serve different purposes.

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?

Implied usage for ad-hoc SELECT queries, but no explicit when-to-use or when-not-to-use compared to siblings.

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/tsod/mssql-pyodbc-mcp'

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