jarvis_run

A execute tool on the CLIO Adios MCP server.

SERVERCLIO Adios SOURCEpypi:clio-kit

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-iowarp-adios-mcp/jarvis-run.md

WHAT IT DOES

What jarvis_run does on CLIO Adios

AI agents invoke jarvis_run to trigger actions in CLIO Adios. 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 jarvis_run is rated High

jarvis_run triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs jarvis_run safely

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

jarvis_run Rate-limited

jarvis_run 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": {
    "jarvis_run": {
      "limits": [
        {
          "counter": "jarvis_run_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 CLIO Adios, apply this rule, and every jarvis_run call is checked against it from then on.

FAQ

Questions about jarvis_run

What does the jarvis_run tool do? +

jarvis_run is a execute tool on the CLIO Adios MCP server. It is categorised as a Execute tool in the CLIO Adios MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on jarvis_run? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for jarvis_run: 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 CLIO Adios. Nothing to install.

What risk level is jarvis_run? +

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

Can I rate-limit jarvis_run? +

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

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

jarvis_run is provided by the CLIO Adios MCP server (pypi:clio-kit). 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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Guides

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