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Colab MCP
by ALiwoto

list_notebook_tools

Read-only

Lists the connected Colab browser's available tools and their input schemas, with cursor pagination, so agents can discover and call the right notebook tool after opening a connection.

Instructions

List the connected Colab browser's tools and their input schemas. Call after open_colab_browser_connection, then use call_notebook_tool. If nextCursor is returned, pass it as cursor to read the next page.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_notebook_tools"
  }
}

Input Schema

NameRequiredDescriptionDefault
cursorNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is known. The description adds real behavioral context beyond that: it is a discovery step with a required ordering in the pipeline, and it returns a nextCursor that must be looped back as cursor for pagination — a mutation-free but stateful paging behavior the annotations do not convey.

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?

Three short sentences, front-loaded with purpose, followed by placement in the workflow and then the pagination rule. Every sentence carries information an agent would otherwise have to guess.

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 one-parameter discovery tool with no output schema, the description covers purpose, ordering, and pagination adequately. It could say more about the shape of the returned tool list (e.g., that it includes each tool's input schema and name), but nothing essential to correct invocation is missing.

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?

Schema coverage is 0% for the single cursor parameter, so the description must carry the load, and it does: it identifies nextCursor as the source of the value and describes the paging loop. It stops short of stating the cursor's opacity/format or whether omitting it means 'first page,' leaving a small gap.

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: listing the connected Colab browser's tools along with their input schemas. The 'connected Colab browser' qualifier separates it from the generic siblings, though 'tools' is slightly ambiguous against list_colab_tabs, which lists tabs rather than tools.

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

Usage Guidelines5/5

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

Explicitly names the prerequisite (call after open_colab_browser_connection) and the successor (then use call_notebook_tool), establishing both when to call it and how it fits into the workflow. No alternative is left to inference.

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