ai_plan_metrics

Run a sample of planner goals against the on-device Foundation Model and report the aggregate score.

SERVERIconnect SOURCEiconnect-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-heznpc-iconnect/ai-plan-metrics.md

WHAT IT DOES

What ai_plan_metrics does on Iconnect

AI agents invoke ai_plan_metrics to trigger actions in Iconnect. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why ai_plan_metrics is rated High

The tool executes inference runs on an on-device Foundation Model, which constitutes triggering an external/local operation. It's not purely a read (it actively runs computation), not destructive or financial. The blast radius is medium since it consumes local compute resources and could expose planning data to model inference, but doesn't modify or delete persistent data.

From the tool's definition 'Run a sample of planner goals against the on-device Foundation Model and report the aggregate score' — actively runs/executes inference tasks against a model

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ai_plan_metrics safely

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

ai_plan_metrics Rate-limited

ai_plan_metrics stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_plan_metrics": {
      "limits": [
        {
          "counter": "ai_plan_metrics_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about ai_plan_metrics

What does the ai_plan_metrics tool do? +

Run a sample of planner goals against the on-device Foundation Model and report the aggregate score. It is categorised as a Execute tool in the Iconnect MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on ai_plan_metrics? +

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

What risk level is ai_plan_metrics? +

ai_plan_metrics is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit ai_plan_metrics? +

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

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

ai_plan_metrics is provided by the Iconnect MCP server (iconnect-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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