jm_save_config

Save current JarvisManager configuration.

SERVERCLIO Adios SOURCEpypi:clio-kit

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/io-github-iowarp-adios-mcp/jm-save-config.md

WHAT IT DOES

What jm_save_config does on CLIO Adios

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

RISK

Why jm_save_config is rated Medium

This tool writes/persists configuration data, which is a reversible modification. It does not retrieve data (Read), execute arbitrary operations (Execute), irreversibly delete data (Destructive), or involve financial transactions (Financial). The severity is medium because misconfigured settings could affect system behavior or data processing pipeline, but the change is reversible by overwriting the config again.

From the tool's definition Tool name 'jm_save_config' and description 'Save current JarvisManager configuration' indicate persistent modification of configuration state.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

jm_save_config Rate-limited

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

FAQ

Questions about jm_save_config

What does the jm_save_config tool do? +

Save current JarvisManager configuration. It is categorised as a Write tool in the CLIO Adios MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on jm_save_config? +

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

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

Can I rate-limit jm_save_config? +

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

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

jm_save_config 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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