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dperussina

Microsoft SQL Server MCP Server (MSSQL)

List Tables

list_tables

Retrieve all table names from a Microsoft SQL Server database to explore its structure and available data.

Instructions

List all tables in the connected database

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connectionStringNoSQL Server connection string (uses default if not provided)
connectionNameNoNamed connection to use (e.g., 'production', 'staging')
schemaNoSchema name (default: dbo)
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. While 'List all tables' implies a read-only operation, it doesn't disclose behavioral traits such as whether it requires specific permissions, how it handles large result sets, or what the output format looks like (e.g., list of names vs. detailed metadata). This is a significant gap for a tool with no annotation coverage.

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 a single, efficient sentence that front-loads the core purpose without any wasted words. It's appropriately sized for a straightforward listing tool, making it easy for an agent to parse quickly.

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

Completeness3/5

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

Given the tool's low complexity (a simple list operation) and 100% schema coverage, the description is minimally adequate. However, with no output schema and no annotations, it lacks details on return values or behavioral constraints, leaving gaps that could hinder correct invocation in more complex scenarios.

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 schema description coverage is 100%, with all three parameters well-documented in the input schema (e.g., connectionString, connectionName, schema). The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline of 3 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 clearly states the verb ('List') and resource ('all tables in the connected database'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_databases' or 'list_views', which would require more specificity to earn a 5.

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. With many sibling tools like 'list_databases', 'list_views', and 'describe_table', there's no indication of context, prerequisites, or exclusions, leaving the agent to infer usage.

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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