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blakethom8

Excel Analytics MCP Server

by blakethom8

list_datasets

View all loaded Excel and CSV datasets with their row and column counts to understand available data for analysis.

Instructions

Show all loaded tables with row/column counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 mentions the tool shows row/column counts, which adds some behavioral context, but lacks details on permissions needed, whether it's read-only (implied but not stated), response format, or any limitations (e.g., pagination).

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 ('Show all loaded tables') and adds useful detail ('with row/column counts') without any wasted words. Every part earns its place.

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

Completeness4/5

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

Given the tool has 0 parameters, 100% schema coverage, and an output schema exists (so return values are documented elsewhere), the description is reasonably complete. It covers the basic purpose and output metadata, though it could benefit from more behavioral context (e.g., read-only nature) since annotations are absent.

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

Parameters4/5

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

The tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter info, which is appropriate, earning a baseline 4 for adequately handling the lack of parameters.

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 action ('Show all loaded tables') and the resource ('tables'), making the purpose evident. It distinguishes from siblings like 'describe_dataset' (detailed info on one table) and 'query' (executing queries), but doesn't explicitly contrast with 'list_my_tools' (which lists tools, not datasets).

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for viewing loaded datasets with basic metadata, but provides no explicit guidance on when to use this versus alternatives like 'describe_dataset' (for detailed info on a specific dataset) or 'query' (for data exploration). No exclusions or prerequisites are mentioned.

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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