allocate_slurm_nodes
Allocate Slurm nodes for an interactive session using salloc.
This record as markdown: /tools/io-github-iowarp-adios-mcp/allocate-slurm-nodes.md
What allocate_slurm_nodes does on CLIO Adios
AI agents invoke allocate_slurm_nodes 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 allocate_slurm_nodes is rated High
This tool executes the 'salloc' HPC scheduler command to allocate compute nodes on a cluster. This triggers external operations on shared HPC infrastructure, potentially consuming significant computational resources (CPU, memory, licenses) that affect other users. It is an Execute-category action with high severity due to the broad blast radius of misuse on shared systems.
From the tool's definition Allocate Slurm nodes for an interactive session using salloc
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs allocate_slurm_nodes 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 allocate_slurm_nodes, this is the rule to start with:
allocate_slurm_nodes 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 allocate_slurm_nodes call is checked against it from then on.
Questions about allocate_slurm_nodes
Allocate Slurm nodes for an interactive session using salloc. 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 allocate_slurm_nodes: 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.
allocate_slurm_nodes 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 allocate_slurm_nodes 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 allocate_slurm_nodes. 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.
allocate_slurm_nodes 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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