module_unload
Unload one or more currently loaded modules from the environment.
This record as markdown: /tools/io-github-iowarp-adios-mcp/module-unload.md
What module_unload does on CLIO Adios
AI agents invoke module_unload 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.
Why module_unload is rated High
Unloading environment modules changes the active software environment, which can break running processes, alter PATH/library availability, and affect subsequent tool executions. This is an environmental execution action with potentially broad side effects on the compute environment, but it is technically reversible (modules can be reloaded), so it falls under Execute rather than Destructive.
From the tool's definition 'Unload one or more currently loaded modules from the environment' — modifies the runtime environment by removing loaded modules
Attacks that exploit this kind of access
The rule that runs module_unload 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_unload, this is the rule to start with:
module_unload 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.
The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every module_unload call is checked against it from then on.
Questions about module_unload
Unload one or more currently loaded modules from the environment. 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.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for module_unload: 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.
module_unload is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the module_unload 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.
Set action: deny in the PolicyLayer policy for module_unload. 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.
module_unload 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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