This record as markdown: /tools/io-github-iowarp-adios-mcp/module-restore.md
What module_restore does on CLIO Adios
AI agents use module_restore 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.
Why module_restore is rated Medium
This tool modifies the state of loaded modules in an HPC environment, which constitutes a Write operation (reversible configuration change). While not destructive, it alters the active computational environment. The severity is medium because incorrect module restoration could cause workflow failures or resource misallocation, but effects are typically containable and reversible.
From the tool's definition Tool name 'module_restore' indicates restoration of saved module collections; in the context of HPC/scientific computing environments, restoring module configurations modifies the computational environment state.
Attacks that exploit this kind of access
The rule that runs module_restore 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_restore, this is the rule to start with:
module_restore 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.
The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every module_restore call is checked against it from then on.
Questions about module_restore
Restore a previously saved module 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.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for module_restore: 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_restore is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the module_restore 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_restore. 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_restore 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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