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jupyter_list_notebooks

List Jupyter notebooks in any directory to quickly browse available notebooks and manage your research workflow.

Instructions

List all Jupyter notebooks in a directory.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
directoryNoDirectory path relative to Jupyter root (empty for root)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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 discloses a simple read operation but omits details like whether the listing is recursive or what information is returned (e.g., names, paths). The existence of an output schema mitigates this somewhat.

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 a single sentence with no unnecessary words, efficiently conveying the tool's purpose.

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 simple list tool with one parameter and an output schema, the description is mostly complete. However, it lacks specifics about recursion or output format, which would improve utility.

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 100% for the single parameter 'directory', which already explains it. The description adds no additional meaning beyond the schema, meeting baseline expectations.

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 verb 'List' and the resource 'Jupyter notebooks' with scope 'in a directory', effectively distinguishing it from siblings like jupyter_find_notebook or jupyter_get_notebook_info.

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 implies usage for listing notebooks in a directory but provides no explicit guidance on when to use versus alternatives or when not to use. Sibling tools suggest different operations, but no comparative advice is given.

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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