jobdash_add_metrics

Add job performance metrics

SERVERPlugin Hub SOURCE@barnburner121/plugin-hub-mcp

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/barnburner121-plugin-hub-mcp/jobdash-add-metrics.md

WHAT IT DOES

What jobdash_add_metrics does on Plugin Hub

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

RISK

Why jobdash_add_metrics is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs jobdash_add_metrics safely

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

jobdash_add_metrics Rate-limited

jobdash_add_metrics 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": {
    "jobdash_add_metrics": {
      "limits": [
        {
          "counter": "jobdash_add_metrics_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 Plugin Hub, apply this rule, and every jobdash_add_metrics call is checked against it from then on.

FAQ

Questions about jobdash_add_metrics

What does the jobdash_add_metrics tool do? +

Add job performance metrics. It is categorised as a Write tool in the Plugin Hub MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on jobdash_add_metrics? +

Register the Plugin Hub MCP server in PolicyLayer and add a rule for jobdash_add_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 Plugin Hub. Nothing to install.

What risk level is jobdash_add_metrics? +

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

Can I rate-limit jobdash_add_metrics? +

Yes. Add a rate_limit block to the jobdash_add_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 jobdash_add_metrics completely? +

Set action: deny in the PolicyLayer policy for jobdash_add_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 jobdash_add_metrics? +

jobdash_add_metrics is provided by the Plugin Hub MCP server (@barnburner121/plugin-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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