create_annotation · Peptoma MCP: Risk & Policy

WHAT IT DOES

What create_annotation does on Peptoma

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

WHY IT NEEDS A POLICY

Why create_annotation needs a policy

This tool creates or modifies data reversibly by submitting annotations—a Write category action. It is not Execute because it doesn't run arbitrary code or external operations. It is not Destructive because annotations can be modified or removed.

From the tool's definition Tool description states 'Submit a peer-review annotation' which creates new data (annotations) in the PEPTOMA platform. The annotation submission modifies the state of the system by adding community-visible peer-review content.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_annotation Rate-limited

create_annotation 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": {
    "create_annotation": {
      "limits": [
        {
          "counter": "create_annotation_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Peptoma, so you can run agents against it safely.

FAQ

Questions about create_annotation

What does the create_annotation tool do? +

Submit a peer-review annotation on a PEPTOMA sequence analysis. Earns $PEPTM tokens when accepted by community consensus. It is categorised as a Write tool in the Peptoma MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_annotation? +

Register the Peptoma MCP server in PolicyLayer and add a rule for create_annotation: 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 Peptoma. Nothing to install.

What risk level is create_annotation? +

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

Can I rate-limit create_annotation? +

Yes. Add a rate_limit block to the create_annotation 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 create_annotation completely? +

Set action: deny in the PolicyLayer policy for create_annotation. 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 create_annotation? +

create_annotation is provided by the Peptoma MCP server (peptoma/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.