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tom275275

Google Workspace MCP Server

by tom275275

batch_update_presentation

Apply multiple update requests to a Google Slides presentation in a single batch operation. Provide the user's Google email, presentation ID, and request list to modify slides programmatically.

Instructions

Apply batch updates to a Google Slides presentation.

Args: user_google_email (str): The user's Google email address. Required. presentation_id (str): The ID of the presentation to update. requests (List[Dict[str, Any]]): List of update requests to apply.

Returns: str: Details about the batch update operation results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestsYes
presentation_idYes
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.14.3

TDQS

C2.9/5.0
Behavior2/5

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 only says the tool 'applies' updates and returns result details, without disclosing whether changes are irreversible, whether authorization is required, or how failures are reported. This is a significant transparency gap for a mutating operation.

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 compact and well-structured with a one-line summary followed by Args and Returns sections. It is easy to scan, though some content simply repeats the schema parameter names and types.

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?

For a mutating tool with an opaque 'requests' array, the description omits essential operational context such as the format of valid requests and side effects. The output schema covers the return value, but the input side is under-specified and no annotations supplement the missing detail.

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

Parameters2/5

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

Schema description coverage is 0%, so the description needed to compensate. It only adds shallow glosses like 'The user's Google email address' and 'The ID of the presentation to update'. The critical 'requests' parameter is left completely unexplained, with no detail on accepted request structures or examples.

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 states a specific verb ('Apply batch updates') and a specific resource ('a Google Slides presentation'), so the agent knows exactly what the tool does. It also naturally distinguishes this tool from sibling tools like batch_update_doc and batch_update_form by naming Slides.

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 gives no guidance on when to use this tool versus alternatives such as create_presentation, get_presentation, or batch_update_doc. It also does not mention when not to use it or what limitations exist.

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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