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MOT1209

Google Colab MCP Server

by MOT1209

colab_download_file

Download a file from a Colab runtime's sandboxed workspace as base64 by providing its relative path.

Instructions

Download a file from the runtime's sandboxed workspace as base64. Path is relative to the runtime's sandboxed workspace (e.g. /content/mcp_workspace).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
session_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden and does disclose two key behaviors: the response is base64-encoded, and path resolution is relative to the sandboxed workspace. It does not disclose failure behavior for missing paths, directory downloads, or size limits, but for a file retrieval tool the disclosed traits are the ones an agent most needs.

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?

Two sentences with zero filler: the first states the operation and output format, the second clarifies the critical path-scoping detail with an example. Every sentence earns its place and the key information is front-loaded.

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?

Adequate for a low-complexity, 2-parameter tool: purpose, path semantics, and return encoding are covered. The unexplained session_id parameter and the absence of any error/edge-case mention leave gaps, and since there is no output schema, the base64 statement is the only return-format information available.

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 0%, so the description must compensate. It thoroughly explains the required 'path' parameter with location and example, but 'session_id' is left entirely unexplained — the agent cannot know whether it selects a runtime, scopes the workspace, or is optional.

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?

States a specific verb ('Download'), resource ('file from the runtime's sandboxed workspace'), and format ('as base64'). The base64 mention and 'download' framing distinguish it from siblings like colab_read_file and colab_upload_file without ambiguity.

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?

Provides clear context that paths are relative to the sandboxed workspace with a concrete example (/content/mcp_workspace), which tells the agent how to invoke it. However, it gives no explicit guidance on when to choose this over colab_read_file or when not to use it, leaving alternative selection to inference.

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