jm_load_config

Load existing JarvisManager configuration.

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/jm-load-config.md

WHAT IT DOES

What jm_load_config does on CLIO Adios

AI agents call jm_load_config 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 jm_load_config is rated Low

The tool performs a read-only operation to load (retrieve) a configuration file. There is no indication of data modification, deletion, command execution, or financial impact. The 'load' operation is a standard retrieval pattern.

From the tool's definition Tool name 'load' and description 'Load existing JarvisManager configuration' indicate retrieval of configuration data without modification or execution of external operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

jm_load_config Allowed

jm_load_config 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": {
    "jm_load_config": {}
  }
}

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 jm_load_config call is checked against it from then on.

FAQ

Questions about jm_load_config

What does the jm_load_config tool do? +

Load existing JarvisManager configuration. 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 jm_load_config? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for jm_load_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_load_config? +

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

Can I rate-limit jm_load_config? +

Yes. Add a rate_limit block to the jm_load_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_load_config completely? +

Set action: deny in the PolicyLayer policy for jm_load_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_load_config? +

jm_load_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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