Excel Analytics MCP Server

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 implies a read-only operation by describing data, but doesn't disclose behavioral traits such as permissions needed, rate limits, error handling, or whether it's safe for large tables. 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.

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

The description is appropriately sized and front-loaded in a single, efficient sentence. Every word contributes to explaining the tool's purpose without waste, 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.

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

Given the tool's low complexity (one parameter) and the presence of an output schema, the description is reasonably complete. It outlines what the tool returns (column names, types, etc.), and the output schema can handle details, though more behavioral context would improve it for a tool with no annotations.

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?

The description doesn't add meaning beyond the input schema, which has 0% description coverage for the single parameter 'table'. However, the parameter is straightforward (a table name), and with only one parameter, the baseline is 3 as the description doesn't compensate but the simplicity mitigates the impact.

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 what the tool does: provides column names, types, sample values, and basic stats for a table. It uses specific verbs ('describe') and resources ('table'), though it doesn't explicitly distinguish from siblings like 'list_datasets' or 'summarize' which might have overlapping functionality.

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?

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, context, or exclusions, and with siblings like 'list_datasets', 'summarize', and 'query', the agent lacks direction on selecting this specific tool for dataset description tasks.

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