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srunx

srunx

by ksterx
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_job_logs

Retrieve stdout and stderr logs for a SLURM job using its job ID, optionally specifying a job name or remote cluster via SSH profile.

Instructions

Get stdout/stderr logs for a SLURM job.

Args:
    job_id: SLURM job ID
    job_name: Optional job name to help locate log files
    transport: Cluster selector — omit / "local" for local SLURM, or an
        SSH profile name to fetch logs from that remote cluster.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "job_id": "<job_id>"
    },
    "name": "get_job_logs"
  }
}

Input Schema

NameRequiredDescriptionDefault
job_idYes
job_nameNo
transportNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.1.1
    • addedInput schema / properties / transport
      Added value: +{
+  "anyOf": [
+    {
+      "type": "string"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "title": "Transport"
+}
    • removedInput schema / properties / use_ssh
      Removed value: -{
-  "default": false,
-  "title": "Use Ssh",
-  "type": "boolean"
-}
  2. First observedv0.1.0

TDQS

A3.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, and the description only states the tool's action without disclosing any behavioral traits such as auth requirements, error handling, or what happens when logs are unavailable. The description does not fill the gap left by missing annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core purpose is front-loaded in the first line. The parameter list is clear but could be more concise; it restates some schema information. Overall, it is short and functional.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description does not need to detail return values. It covers the main inputs adequately but omits edge cases or behavior for missing logs, which is acceptable for a focused tool. Completeness is moderate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, but the description adds meaningful context for each parameter: job_id is a SLURM job ID, job_name helps locate files, and transport specifies local vs remote clusters. This compensates well for the schema's lack of detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description begins with a clear verb and resource: 'Get stdout/stderr logs for a SLURM job.' It immediately distinguishes itself from sibling tools like get_job_status or list_jobs by specifying logs retrieval.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains the parameters and their roles but does not explicitly state when to use this tool versus alternatives or any prerequisites. It provides implicit context but lacks formal guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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