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workspace_export

Read-only

Export Databricks workspace objects (notebooks or files) in formats like SOURCE, HTML, JUPYTER, DBC, or RAW. Returns decoded text where possible.

Instructions

Export a workspace object (notebook or file).

For notebooks, ``format_`` may be ``SOURCE``, ``HTML``, ``JUPYTER``, or ``DBC``.
For files, use ``RAW`` (returns base64) or omit.
Returns the decoded text where possible.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYesAbsolute workspace path of the object to export
format_NoExport format: SOURCE | HTML | JUPYTER | RAW (for files); DBC for notebooksSOURCE

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Beyond the readOnlyHint annotation, the description adds that the tool returns decoded text where possible and base64 for RAW format on files, clarifying the output behavior.

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 concise sentences front-load the main action and provide all necessary details without unnecessary words.

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?

With an output schema present and readOnlyHint annotation, the description adequately covers return behavior and type-specific formats. Minor lack of error handling details is acceptable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaningful context beyond the schema by specifying that format_ options differ for notebooks (SOURCE, HTML, JUPYTER, DBC) vs files (RAW or omit), and that RAW returns base64.

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 exports a workspace object (notebook or file), with specific format options for each type. This distinguishes it from sibling tools like workspace_import or workspace_delete.

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

Usage Guidelines4/5

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

The description provides explicit guidance on which format to use for notebooks vs files, but does not explicitly state when to avoid this tool or suggest alternatives like workspace_get_status for simple metadata.

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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