Skip to main content
Glama
cablate

Simple Document Processing MCP Server

excel_read

Reads an Excel file and converts its contents to a structured JSON format, preserving the original table structure. Optionally includes headers in the output.

Instructions

Read Excel file and convert to JSON format while preserving structure

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputPathYesPath to the input Excel file
includeHeadersNoWhether to include headers in the output
Behavior2/5

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

No annotations are provided, so the description must convey behavioral traits. It mentions 'preserving structure' but doesn't explain what that entails (e.g., sheets, formatting). It also doesn't state that the tool is non-destructive or any error conditions.

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

Conciseness4/5

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

The description is a single sentence, which is concise and front-loaded. However, it lacks structure and additional detail that could improve usability.

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

Completeness2/5

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

Given the absence of annotations and output schema, the description is too brief. It doesn't cover important aspects like output format, error handling, or limitations, making it incomplete for effective tool invocation.

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?

Schema coverage is 100%, so baseline is 3. The description does not add meaning beyond the schema; 'preserving structure' is vague and doesn't clarify parameter usage. No details on inputPath format or includeHeaders behavior.

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

Purpose5/5

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

The description clearly states the tool reads an Excel file and converts it to JSON while preserving structure. It is specific to Excel files, distinguishing it from sibling tools like document_reader or format_convert.

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?

No guidance on when to use this tool over alternatives, nor any context on when to set includeHeaders. There are no hints about prerequisites or typical use cases.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cablate/mcp-doc-forge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server