api_update_requests

Bulk-edit configuration of existing requests with ONE approval: rename them to business-readable names, move them into folders (folder is the module, e.g.

SERVERDutyDeck SOURCEtaokoplay/DutyDeck

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/dutydeck/api-update-requests.md

WHAT IT DOES

What api_update_requests does on DutyDeck

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

RISK

Why api_update_requests is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs api_update_requests safely

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

api_update_requests Rate-limited

api_update_requests 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": {
    "api_update_requests": {
      "limits": [
        {
          "counter": "api_update_requests_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 DutyDeck, apply this rule, and every api_update_requests call is checked against it from then on.

FAQ

Questions about api_update_requests

What does the api_update_requests tool do? +

Bulk-edit configuration of existing requests with ONE approval: rename them to business-readable names, move them into folders (folder is the module, e.g. It is categorised as a Write tool in the DutyDeck MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on api_update_requests? +

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

What risk level is api_update_requests? +

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

Can I rate-limit api_update_requests? +

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

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

api_update_requests is provided by the DutyDeck MCP server (taokoplay/DutyDeck). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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