delego_propose_action

A other tool on the Pypi:delego MCP server.

SERVERPypi:delego SOURCEpypi:delego

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/delego-dev-delego/delego-propose-action.md

WHAT IT DOES

What delego_propose_action does on Pypi:delego

AI agents call delego_propose_action as a supporting operation in Pypi:delego workflows.

RISK

Why delego_propose_action is rated Low

The name 'propose_action' suggests submitting an action for review/authorization rather than directly executing, modifying, or deleting anything. In the context of a policy-and-audit firewall that sits between an agent and a credential broker, 'propose' likely means queuing an action for human approval (as suggested by sibling tools like 'delego_pending' and 'delego_resolve_action').

From the tool's definition Tool description is empty; only the name 'delego_propose_action' is available.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs delego_propose_action safely

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

delego_propose_action Rate-limited

delego_propose_action gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "delego_propose_action": {
      "limits": [
        {
          "counter": "delego_propose_action_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about delego_propose_action

What does the delego_propose_action tool do? +

delego_propose_action is a other tool on the Pypi:delego MCP server. It is categorised as a Other tool in the Pypi:delego MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on delego_propose_action? +

Register the Pypi:delego MCP server in PolicyLayer and add a rule for delego_propose_action: 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 Pypi:delego. Nothing to install.

What risk level is delego_propose_action? +

delego_propose_action is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit delego_propose_action? +

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

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

delego_propose_action is provided by the Pypi:delego MCP server (pypi:delego). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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