get_job_details

Get detailed information about a specific Slurm job.

SERVERCLIO Adios SOURCEpypi:clio-kit
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/get-job-details.md

What get_job_details does on CLIO Adios

AI agents call get_job_details to retrieve information from CLIO Adios without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_job_details is rated Low

This tool retrieves and returns information about a Slurm job; it is purely informational (Read category). The impact is minimal—access to job details is a standard monitoring operation with no capability to modify, delete, or execute arbitrary code. Severity is low because misuse would only expose existing job metadata, not cause damage or financial impact.

From the tool's definition Tool name 'get_job_details' and description 'Get detailed information about a specific Slurm job' indicate a retrieval operation that queries job metadata without modification or side effects.

Questions about get_job_details

What does the get_job_details tool do? +

Get detailed information about a specific Slurm job. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_job_details? +

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

get_job_details is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_job_details? +

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

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

get_job_details 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.

More on CLIO Adios, and thousands of servers like it.

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