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batch_update_presentation

Apply a batch of Slides API edit requests in one atomic call, ensuring all changes succeed or fail together.

Instructions

Apply a batch of Slides API edit requests in one atomic call.

This is the low-level escape hatch for anything not covered by the high-level helpers (create_slides_shape, create_slides_text_box, format_slides_text, duplicate_slide, reorder_slides, etc.). All requests in a single call apply atomically — partial failure rolls back the whole batch. Requires the presentations OAuth scope.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYesThe user's Google email address (authenticated account).
presentation_idYesTarget presentation ID.
requestsYesList of Slides API request objects — each has one key like "createSlide", "updateTextStyle", "deleteObject", "createShape", "insertText", "replaceAllText", etc. See https://developers.google.com/slides/api/reference/rest/v1/presentations/request for the full schema.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Despite no annotations, the description discloses atomic execution with rollback on partial failure and OAuth scope requirement. It could mention potential destructiveness, but the core behavioral traits are covered.

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 that front-load purpose, then add context and behavioral details. No unnecessary words.

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?

For a low-level batch API, the description covers purpose, usage, atomicity, and authentication. The presence of an output schema likely covers return values, making this complete.

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 coverage is 100% with clear parameter descriptions. The description does not add additional meaning beyond the schema, earning baseline score.

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 applies a batch of Slides API edit requests atomically. It explicitly contrasts with high-level helpers, distinguishing it as the low-level escape hatch.

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

Usage Guidelines5/5

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

The description explicitly states when to use this tool (for operations not covered by high-level helpers) and notes atomicity and rollback behavior, providing clear guidelines.

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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