job_details

Show full SLURM details for a specific job ID.

Server Tacc Mcp Bio narasimhan-lab/tacc-mcp-bio
Category Read
Risk class Low
Parameters 00 required

What job_details does on Tacc Mcp Bio

AI agents call job_details to retrieve information from Tacc Mcp Bio without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why job_details needs a policy

This tool retrieves and displays information about SLURM job details. It performs no modifications, deletions, or external operations—it only queries existing job state information. The blast radius of misuse is minimal; an attacker could learn job details but cannot alter infrastructure or data. Classified as Read with low severity.

From the tool's definition Tool description states 'Show full SLURM details for a specific job ID' — this is a query/retrieval operation with no side effects. The verb 'show' and the context of reading job metadata confirm read-only behavior.

Questions about job_details

What does the job_details tool do? +

Show full SLURM details for a specific job ID. It is categorised as a Read tool in the Tacc Mcp Bio MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on job_details? +

Register the Tacc Mcp Bio MCP server in PolicyLayer and add a rule for 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 Tacc Mcp Bio. Nothing to install.

What risk level is job_details? +

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

Can I rate-limit job_details? +

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

Set action: deny in the PolicyLayer policy for 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 job_details? +

job_details is provided by the Tacc Mcp Bio MCP server (narasimhan-lab/tacc-mcp-bio). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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