Skip to main content
Glama
emilychimbobit

OneDrive MCP Server

read_file

Reads the content of text files from OneDrive, including txt, md, json, and csv, to retrieve file data for further processing.

Instructions

Lee el contenido de un archivo de texto (txt, md, json, csv, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesRuta con prefijo del archivo a leer
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 reading text files but doesn't disclose the return format, error behavior for missing files, or any limitations (e.g., binary files). The transparency is minimal.

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 concise sentence, front-loaded with the action and resource, and includes useful examples of file types. No wasted words.

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

Completeness3/5

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

The tool is simple with one parameter and no output schema. The description clarifies supported file formats, but it doesn't explain what the tool returns (e.g., raw text vs. structured response) or mention potential errors, leaving some gaps for the agent.

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% since the only parameter 'filePath' has a description. The tool description adds no extra semantics beyond the schema's 'Ruta con prefijo del archivo a leer', so the baseline of 3 is appropriate.

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 it reads the content of text files, listing common extensions. It uses a specific verb and resource, but it doesn't distinguish from the sibling tool 'get_file', so it loses a point for lacking sibling differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get_file' or 'list_files'. It simply states what it does without any context for selection.

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/emilychimbobit/BIT-OneDriveMCP'

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