replace_image
Swaps the bitmap of an existing image element while keeping its frame, position and effects (batchUpdate replaceImage). The new picture comes from image_url or image_path with exactly the same validation/upload/cleanup rules as create_image. replace_method: center_inside (default — scales to fit ...
This record as markdown: /tools/a1-x-tech-mcp-google-slides/replace-image.md
What replace_image does on Mcp Google Slides
AI agents use replace_image to create or update resources in Mcp Google Slides, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp Google Slides environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
image_url | string | — | Public https URL of the new PNG/JPEG/GIF (exactly one of image_url / image_path). |
image_path | string | — | Absolute local path of the new image (exactly one of image_url / image_path). |
replace_method | string | — | How the new image fills the old frame (default center_inside). |
image_object_id | string | Yes | The existing image element's object id (type "image" in list_slides). |
presentation_id | string | Yes | The presentation id — the long id from the URL (docs.google.com/presentation/d/<presentationId>/edit) or from create_presentation output. |
Parameters from the server's own tool schema.
Why replace_image is rated Medium
Modifies existing image content reversibly without deletion; agent could deface presentations but changes are undoable.
From the tool's definition Swaps the bitmap of an existing image element, modification via batchUpdate
Attacks that exploit this kind of access
The rule that runs replace_image safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Google Slides, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For replace_image, this is the rule to start with:
replace_image stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Google Slides, apply this rule, and every replace_image call is checked against it from then on.
Questions about replace_image
Swaps the bitmap of an existing image element while keeping its frame, position and effects (batchUpdate replaceImage). The new picture comes from image_url or image_path with exactly the same validation/upload/cleanup rules as create_image. replace_method: center_inside (default — scales to fit inside the frame, keeping aspect) or center_crop (fills the frame, cropping the overflow). It is categorised as a Write tool in the Mcp Google Slides MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
replace_image accepts 5 parameters: image_url, image_path, replace_method, image_object_id, presentation_id. Required: image_object_id, presentation_id. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Google Slides MCP server in PolicyLayer and add a rule for replace_image: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Google Slides. Nothing to install.
replace_image is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the replace_image rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for replace_image. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
replace_image is provided by the Mcp Google Slides MCP server (@a1-x-tech/mcp-google-slides). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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