Skip to main content
Glama
dy-le

wd-mycloud-mcp

by dy-le

read_file

Reads the text content of a file on WD MyCloud from its relative path. Returns the file data to AI assistants for processing.

Instructions

Read the text content of a file on WD MyCloud.

Args: path: Relative path to the file from the share root.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description alone must convey behavioral traits, but it only states the basic read operation. It does not disclose error behavior for missing files, permission restrictions, encoding assumptions, or limitations to certain file types beyond 'text content'.

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 very concise and front-loaded, with a one-sentence purpose followed by the parameter explanation. Every word contributes useful information; there is no redundancy or filler.

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?

For a simple single-parameter read tool, this is minimally adequate: purpose and path semantics are clear, and the output schema covers return values. However, it lacks important behavioral context such as error handling and file type expectations, and it provides no guidance on when to use it relative to sibling tools.

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?

Although the schema only defines 'path' as a string, the description adds essential meaning: the path is relative to the share root and identifies a file. This clear semantic clarification compensates for the 0% schema description coverage and helps the agent construct valid inputs.

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 uses a specific verb ('Read') and resource ('text content of a file') with a clear scope (WD MyCloud), which immediately distinguishes it from sibling tools like list_directory or write_file. It is not a tautology and plainly states the tool's function.

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?

There is no guidance about when to use this tool versus alternatives, such as when to prefer list_directory or get_info. The only usage hint is the path input being relative to the share root, which pertains to parameter usage rather than tool 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/dy-le/wd-mycloud-mcp'

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