Medium Risk

agent_update

Report progress on an agent task. Call this as you make progress.

How to control agent_update ↓

What agent_update does on Conductor

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

Medium Risk

Why agent_update needs a policy

The tool writes progress information to a task record, which is a reversible operation. It does not execute code, delete data, move money, or trigger external side effects; it simply records progress metadata. The low severity reflects that misuse would only result in incorrect progress reporting without affecting task execution or data integrity.

From the tool's definition Tool description states 'Report progress on an agent task' — this is a status/progress update operation that modifies task state reversibly without destructive or executable effects.

Documented attack patterns abuse exactly the kind of access agent_update gives an agent:

How to control agent_update

PolicyLayer is an MCP gateway — it sits between your AI agents and Conductor, and nothing reaches the server without passing your rules. This is the rule we recommend for agent_update:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "agent_update": {
      "limits": [
        {
          "counter": "agent_update_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

agent_update 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.

  1. Create a free account and register Conductor — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about agent_update

What does the agent_update tool do? +

Report progress on an agent task. Call this as you make progress. It is categorised as a Write tool in the Conductor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on agent_update? +

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

What risk level is agent_update? +

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

Can I rate-limit agent_update? +

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

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

agent_update is provided by the Conductor MCP server (shannonbay/conductor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Conductor tool call.

Start from Conductor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

16 Conductor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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