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mstampfer

Claude Code Notebook MCP

by mstampfer

notebook_validate

Validate a Jupyter notebook against the nbformat schema to check for structural errors and ensure compatibility with standard tools.

Instructions

Validates the notebook structure against the nbformat schema

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesPath to the notebook
Behavior2/5

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

No annotations are provided, so the description must carry full behavioral disclosure. It only says 'validates against the schema' but does not state whether the tool modifies the notebook, what output it returns (e.g., boolean, error list), or how it handles invalid structures. This lack of detail limits transparency.

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?

The description is a single sentence that is concise and front-loaded with the verb 'validates'. However, it may be under-specified, sacrificing completeness for brevity. Still, no unnecessary words are present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has no output schema, no annotations, and one parameter, the description is incomplete. It fails to explain what the validation result looks like, whether the tool is read-only, or how it fits among the many sibling notebook tools. The agent lacks essential context to invoke the tool correctly.

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?

The input schema covers the single parameter 'path' with a description, achieving 100% schema coverage. The tool description adds no additional meaning to the parameter. Baseline 3 is appropriate since the schema already documents the parameter adequately.

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?

The description clearly states the tool 'validates the notebook structure against the nbformat schema', which is a specific verb and resource. This distinguishes it from sibling tools that create, read, edit, or delete notebooks, making the purpose unambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives like notebook_read or notebook_get_info. It does not mention prerequisites, suitable contexts, or when not to use it. For a validation tool, this is a significant gap.

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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