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Facets-cloud

Facets Module MCP Server

by Facets-cloud

write_readme_file

Creates a README.md file in a specified module directory with provided content, returning success status or error details.

Instructions

Writes a README.md file for the module directory. This tool is intended for AI to generate the README content for the module.

Args: module_path (str): Path to the module directory. content (str): Content to write to README.md.

Returns: str: JSON string with success status, message, instructions, and optional error/data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
module_pathYes
contentYes

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 must fully disclose behavioral traits. It fails to mention critical details like whether existing README.md is overwritten, directory creation behavior, or required permissions (e.g., write access). The return format is noted but not explained.

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 concise with three clear sentences. The Arg block is structured but could be integrated more naturally. No extraneous words, and the main purpose is stated upfront.

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 write operation, the description covers the basic action and parameters. However, it lacks context on key behaviors like file overwriting, error conditions, and whether directory creation is handled. With an output schema present, return value explanation is less critical, but behavioral gaps remain.

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 schema has 0% description coverage, so the Arg block adds value by briefly describing each parameter. However, the descriptions are minimal and do not specify format constraints (e.g., absolute vs relative path, markdown expectations for content).

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 action 'Writes' and the resource 'README.md file for the module directory'. It distinguishes from sibling tools like write_generic_file or write_config_files by specifying the target file type and purpose.

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 generating README content for modules but does not explicitly state when to use this tool versus other write tools (e.g., write_generic_file). No alternatives or exclusions are mentioned, leaving the agent to infer the context.

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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