edit_image

EDIT an existing image in place with a plain-language instruction and keep everything else:

SERVERHermoso SOURCEhttps://app.hermoso.ai/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/hermoso/edit-image.md

WHAT IT DOES

What edit_image does on Hermoso

AI agents use edit_image to create or update resources in Hermoso, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hermoso environment.

RISK

Why edit_image is rated Medium

An AI agent can call edit_image faster than any human can review: one bad instruction and it creates or modifies resources in Hermoso by the hundred, each call as confident as the last.

Risk signalsBulk/mass operation — affects multiple targets

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs edit_image safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Hermoso, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For edit_image, this is the rule to start with:

edit_image Rate-limited

edit_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "edit_image": {
      "limits": [
        {
          "counter": "edit_image_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Hermoso, apply this rule, and every edit_image call is checked against it from then on.

FAQ

Questions about edit_image

What does the edit_image tool do? +

EDIT an existing image in place with a plain-language instruction and keep everything else:. It is categorised as a Write tool in the Hermoso MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on edit_image? +

Register the Hermoso MCP server in PolicyLayer and add a rule for edit_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 Hermoso. Nothing to install.

What risk level is edit_image? +

edit_image is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit edit_image? +

Yes. Add a rate_limit block to the edit_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.

How do I block edit_image completely? +

Set action: deny in the PolicyLayer policy for edit_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.

What MCP server provides edit_image? +

edit_image is provided by the Hermoso MCP server (https://app.hermoso.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Govern customer-ops agents →Argument validation →Scoped token →