Excel Analytics MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Quick statistical summary' implies a read-only operation, it doesn't specify what statistics are included, whether it handles missing data, what format the output takes, or any performance considerations. The description is too vague about the actual behavior.

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 perfectly concise at 8 words with zero wasted language. It's front-loaded with the core functionality ('Quick statistical summary') and efficiently specifies the scope ('of a table or a specific column'). Every word earns its place.

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 has an output schema (which will document return values) and relatively simple parameters, the description is minimally adequate. However, for a statistical summary tool with no annotations, it should provide more context about what statistics are computed, handling of different data types, or sample output format to complement the output schema.

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?

With 0% schema description coverage for both parameters, the description must compensate but provides minimal help. It mentions 'table or a specific column' which hints at the two parameters' purposes, but doesn't explain the relationship between them, what happens when column is empty vs specified, or what constitutes valid table/column values.

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 specific verbs ('statistical summary') and resources ('table or a specific column'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'describe_dataset' or 'query', which might also provide summary-like 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?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'describe_dataset' and 'query' that might offer overlapping functionality, there's no indication of when this specific summary tool is preferred or what distinguishes it from other analysis options.

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