This record as markdown: /tools/takashito-linode-mcp-server/update-image.md
What update_image does on Linode MCP Server
AI agents use update_image to create or update resources in Linode MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Linode MCP Server environment.
Why update_image is rated Medium
This tool creates or modifies data reversibly by updating an existing image resource in Linode's infrastructure. It does not execute arbitrary code, delete data irreversibly, or involve financial transactions. The medium severity reflects that corrupting or modifying images could impact deployment workflows and service availability, but the effect is limited to a single image resource and can be corrected.
From the tool's definition Tool name 'update_image' and description 'Update an existing Image' indicate modification of existing data. The action is reversible (images can be updated again or reverted), and modifies cloud infrastructure resources.
Attacks that exploit this kind of access
The rule that runs update_image safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Linode MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_image, this is the rule to start with:
update_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 Linode MCP Server, apply this rule, and every update_image call is checked against it from then on.
Questions about update_image
Update an existing Image. It is categorised as a Write tool in the Linode MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Linode MCP Server MCP server in PolicyLayer and add a rule for update_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 Linode MCP Server. Nothing to install.
update_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 update_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 update_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.
update_image is provided by the Linode MCP Server MCP server (takashito/linode-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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