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MSSQL MCP Server

by vicagbasi

Detect Audit Columns

detect_audit_columns

Scans MSSQL database tables to locate audit columns such as created/modified dates and user tracking fields.

Instructions

Identify common audit trail patterns (created/modified dates, user tracking)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaNoSchema name (default: dbo)
connectionNameNoNamed connection to use (e.g., 'production', 'staging')
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 does not disclose whether the tool is read-only, requires specific permissions, or any side effects. The behavior beyond pattern identification is unclear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that communicates the core purpose without extraneous words. It lacks structure but is appropriately brief.

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?

There is no output schema and the description does not explain what the tool returns (e.g., a list of columns, a report). Given that the tool likely produces output, the agent lacks necessary context for invoking and using the result.

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% coverage with descriptions for both parameters (schema and connectionName). The description adds no extra meaning beyond what is already in the schema, so baseline score of 3 is appropriate.

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 states a specific verb 'Identify' and resource 'common audit trail patterns' with examples like 'created/modified dates, user tracking'. It distinguishes the tool from siblings that focus on other database analysis tasks.

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 guidance is provided on when to use this tool versus alternatives, such as other analysis tools in the sibling list. The description does not mention prerequisites or context for effective use.

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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