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mise-en-space

mise-en-space

by spm1001
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

fetch

Automatically fetch Google Drive files, Gmail threads, or folders to local directory. Supports attachments, recursive folder trees, and specific spreadsheet tabs.

Instructions

Fetch content to mise/ — auto-detects type (Drive file, Gmail thread, folder).

Pass base_path=cwd. Use attachment= for specific Gmail attachments (Office/PDF/image).
Use recursive=True on folders for full tree. Use tabs= to fetch specific spreadsheet tabs.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "file_id": "<file_id>"
    },
    "name": "fetch"
  }
}

Input Schema

NameRequiredDescriptionDefault
tabsNo
file_idYes
base_pathNo
recursiveNo
attachmentNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
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 auto-detection of content type but does not disclose behavioral traits such as whether the operation is read-only, side effects, authentication requirements, or rate limits. The description is insufficient for a tool with no annotation support.

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 brief and front-loaded with the main purpose. Every sentence adds value, and there is no redundant information. It uses a clear, bullet-like structure that is easy to scan.

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?

Given the presence of an output schema (which explains return values) and the use of examples for all parameters, the description is reasonably complete. However, it lacks explanation of what 'mise/' is and does not clarify the overall workflow, leaving some potential ambiguity for an unfamiliar agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description provides meaningful context for all parameters: base_path (set to cwd), attachment (for specific Gmail attachments), recursive (for folder trees), tabs (for spreadsheet tabs). file_id is implied but its role is clear from the tool purpose. This fully compensates for the lack of schema descriptions.

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 the tool fetches content and auto-detects types like Drive file, Gmail thread, and folder. It is specific about the resource (content to mise/) but does not differentiate from sibling tools (do, search) which may have overlapping functionality.

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 provides usage hints (e.g., pass base_path=cwd, use attachment for Gmail attachments) but does not explicitly state when to use this tool versus alternatives or when not to use it. The guidance is implied through examples.

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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