module_save

Save currently loaded modules as a named collection.

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/module-save.md

WHAT IT DOES

What module_save does on CLIO Adios

AI agents use module_save 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 module_save is rated Medium

This tool creates and stores a new named module collection, which is a reversible write operation. It modifies the system state by persisting a new configuration but does not delete data (hence not Destructive) or execute arbitrary code (hence not Execute).

From the tool's definition Tool description states 'Save currently loaded modules as a named collection' which creates/persists a new named configuration artifact.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

module_save Rate-limited

module_save 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": {
    "module_save": {
      "limits": [
        {
          "counter": "module_save_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 module_save call is checked against it from then on.

FAQ

Questions about module_save

What does the module_save tool do? +

Save currently loaded modules as a named collection. 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 module_save? +

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

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

Can I rate-limit module_save? +

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

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

module_save 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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