This record as markdown: /tools/io-github-iowarp-adios-mcp/jm-reset.md
What jm_reset does on CLIO Adios
AI agents call jm_reset to permanently remove resources in CLIO Adios, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why jm_reset is rated Critical
The tool performs a destructive operation that cannot be undone. The language "destroy all pipelines and data" indicates permanent deletion of resources. While the server context suggests scientific data management, the tool's explicit destructive capability and broad scope (affecting all pipelines and data simultaneously) poses a critical risk if invoked by an unauthorized or confused AI agent.
From the tool's definition Tool description explicitly states "destroy all pipelines and data" - this is irreversible data destruction.
Attacks that exploit this kind of access
The rule that runs jm_reset 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_reset, this is the rule to start with:
jm_reset is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every jm_reset call is checked against it from then on.
Questions about jm_reset
Reset JarvisManager (destroy all pipelines and data). It is categorised as a Destructive tool in the CLIO Adios MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for jm_reset: 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.
jm_reset is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the jm_reset 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 jm_reset. 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.
jm_reset 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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