jarvis_get_execution

Query a selectable JARVIS-owned execution view in one locked load.

SERVERCLIO Adios SOURCEpypi:clio-kit

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/jarvis-get-execution.md

WHAT IT DOES

What jarvis_get_execution does on CLIO Adios

AI agents call jarvis_get_execution to retrieve information from CLIO Adios without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why jarvis_get_execution is rated Low

Even though jarvis_get_execution only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs jarvis_get_execution 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_get_execution, this is the rule to start with:

jarvis_get_execution Allowed

jarvis_get_execution is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "jarvis_get_execution": {}
  }
}

ALLOW ONLY 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_get_execution call is checked against it from then on.

FAQ

Questions about jarvis_get_execution

What does the jarvis_get_execution tool do? +

Query a selectable JARVIS-owned execution view in one locked load. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on jarvis_get_execution? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for jarvis_get_execution: 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_get_execution? +

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

Can I rate-limit jarvis_get_execution? +

Yes. Add a rate_limit block to the jarvis_get_execution 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_get_execution completely? +

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

jarvis_get_execution 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.

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