Skip to main content
Glama

Meta Muse MCP Server by useapi.net (third-party)

Write a workspace file

muse_write_file
DestructiveIdempotent

Write a file into the Muse workspace (a file already there is replaced), e.g. a document, data or code for the agent to use: then send its path in files of muse_chat (e.g. "Summarize file_1"). Send text in content, or binary as base64 in contentBase64. Up to 50 MB; a large file can take about a minute. POST /files.

Input Schema

NameRequiredDescriptionDefault
pathYesWhere to write the file, e.g. workspace/your_files/notes.md.
emailNoThe Muse account email. Optional when the API token has one Muse account.
contentNoThe file's text (UTF-8).
contentTypeNoThe file's MIME type (default: from the extension).
contentBase64NoThe file's bytes as base64, instead of content.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=true, so the bar is lower; the description nonetheless adds real operational context: existing files are replaced, the size ceiling is 50 MB, and a large file may take about a minute. That latency and limit information is genuinely useful for planning. It does not mention permission requirements or what happens on failure.

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?

Dense and front-loaded: the overwrite behavior and the muse_chat handoff come before secondary details like size limits and the POST /files endpoint. Every clause carries information, though the trailing HTTP endpoint reference adds little for an agent choosing a tool.

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?

For a five-parameter write tool with full schema coverage and annotations covering the safety profile, the description is nearly complete: it covers overwrite behavior, encoding options, limits, and latency. The one gap is return semantics — there is no output schema and the description never says what the call yields (e.g. the stored path or file id), which the agent needs for the subsequent muse_chat step.

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 description coverage is 100%, so the schema already documents all five parameters, including the content/contentBase64 split. The description largely restates that split and adds only the 50 MB constraint, which does not map to a single parameter. Baseline 3 is appropriate when the schema carries the weight.

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?

States a specific verb and resource (write a file into the Muse workspace) and clarifies overwrite semantics for an existing path. It also names the downstream handoff tool, muse_chat, so the agent understands the write is prep for a chat reference. It stops short of explicitly contrasting with siblings like muse_read_file, muse_delete_file, or muse_upload_asset.

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

Usage Guidelines4/5

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

Gives a concrete usage scenario — writing a document, data, or code file for the agent to use, then sending its path in muse_chat with an example prompt. That is clear positive guidance with a worked example. It offers no exclusions (e.g. when to prefer muse_upload_asset for binary assets) and no stated prerequisites for the call.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources