Skip to main content
Glama
kedro-org

Kedro MCP Server

Official
by kedro-org

notebook_to_kedro

Convert Jupyter notebooks into Kedro projects using step-by-step instructions. Transform exploratory code into maintainable, reproducible pipelines.

Instructions

Return Notebook→Kedro conversion instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must carry the full burden of behavioral disclosure. It only says 'Return... instructions,' which does not reveal whether instructions are generic, notebook-specific, or what form they take, though it is not misleading.

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?

A single concise sentence that is front-loaded and contains no filler. Every word adds value.

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 info-return tool, the description is adequate but lacks detail about the nature of the instructions, how they relate to sibling tools, and what content is covered. The presence of an output schema reduces the need to explain return values, but overall the description is thin.

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 tool has zero parameters, so there is nothing to explain beyond the schema. Per guidelines, a baseline of 4 is appropriate.

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's function: returning conversion instructions from Notebook to Kedro. The verb 'Return' combined with the resource 'Notebook→Kedro conversion instructions' makes it distinct from sibling tools like 'kedro_general_instructions' and 'project_migration'.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as 'kedro_general_instructions' or 'project_migration'. The description is too brief to convey any selection context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kedro-org/kedro-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server