Microsoft SQL Server MCP Server (MSSQL)

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

No annotations are provided, so the description carries full burden. It mentions the tool 'identifies potentially missing indexes' but doesn't disclose behavioral traits like whether this is a read-only analysis, what permissions are required, how long it might take, whether it impacts database performance, or what format the output takes. The description is minimal and leaves critical operational context unspecified.

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

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

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for the tool's complexity and is perfectly front-loaded with the core functionality.

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

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

Given the tool's analytical nature, no annotations, and no output schema, the description is insufficiently complete. It doesn't explain what the tool returns (e.g., recommendations, impact scores, SQL statements), how results are structured, or any prerequisites for use. For a database analysis tool with zero structured metadata beyond the input schema, the description should provide more operational context.

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

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

Schema description coverage is 100%, so the schema already documents all four parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter information in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb ('identify') and resource ('potentially missing indexes'), and specifies the basis ('based on query execution patterns'). However, it doesn't explicitly differentiate from sibling tools like 'analyze_index_usage' or 'list_indexes', which could have overlapping analysis functions.

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

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 focused on database analysis (e.g., 'analyze_index_usage', 'list_indexes'), there's no indication of when this specific index-finding tool is preferable or what distinguishes it from other analysis tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.