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studio_revise

Revise specific slides in an existing slide deck by providing targeted instructions for each slide. Creates a new artifact while preserving the original.

Instructions

Revise individual slides in an existing slide deck. Creates a NEW artifact.

Only slide decks support revision. The original artifact is not modified. Poll studio_status after calling to check when the new deck is ready.

Args: notebook_id: Notebook UUID artifact_id: UUID of the existing slide deck to revise (from studio_status) slide_instructions: List of revision instructions, each with: - slide: Slide number (1-based, slide 1 = first slide) - instruction: Text describing the desired change Example: [{"slide": 1, "instruction": "Make the title larger"}] confirm: Must be True after user approval

Example: studio_revise( notebook_id="abc", artifact_id="xyz", slide_instructions=[ {"slide": 1, "instruction": "Make the title larger"}, {"slide": 3, "instruction": "Remove the image"} ], confirm=True )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
confirmNo
artifact_idYes
notebook_idYes
slide_instructionsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description discloses key behaviors: it creates a new artifact without modifying the original, requires confirm=True after user approval, and is asynchronous (poll status). However, it lacks details on error handling or rate limits.

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 well-structured with a clear header, parameter list, and example. It is reasonably concise, though the example could be slightly condensed.

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

Completeness5/5

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

Given the presence of an output schema, the description covers purpose, usage, parameters, and behavioral expectations thoroughly. No additional information seems necessary.

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?

Despite 0% schema description coverage, the description explains all parameters in detail, including the structure of slide_instructions and the required confirm=True. An example further clarifies usage.

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 'Revise individual slides in an existing slide deck. Creates a NEW artifact.' This is a specific verb+resource combination that distinguishes it from sibling tools like studio_create or studio_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 specifies that only slide decks support revision and advises polling studio_status after calling. It provides clear context but does not explicitly state when not to use this tool or list alternatives.

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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