rancher-mcp-server

diagnose_workload

Diagnoses a workload's state, unhealthy pods, restart counts, and Warning events. Use as the first step when a workload is failing.

Instructions

One-shot diagnosis of a workload: state, unhealthy pods, restart counts and related Warning events. Ideal first call when something is failing.

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": {
      "project_id": "<project_id>",
      "workload_id": "<workload_id>"
    },
    "name": "diagnose_workload"
  }
}

Input Schema

Name	Required	Description	Default
`project_id`	Yes
`workload_id`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Jul 8, 2026

TDQS

A3.9/5.0

Behavior3/5

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

No annotations are provided, so the description carries full burden. It implies a read-only diagnostic action but does not explicitly state that it does not modify resources or mention any limitations (e.g., rate limits, result size). Partial transparency.

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

Conciseness5/5

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

The description is two sentences, both front-loaded with the core purpose and usage guidance. Every word serves a purpose with no redundancy.

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

Completeness4/5

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

Given the presence of an output schema, the description appropriately summarizes key return elements (state, unhealthy pods, restart counts, warning events). It lacks mention of edge cases like missing workload, but overall sufficiently complete for a diagnostic tool.

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

Parameters2/5

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

Schema coverage is 0%, so the description must compensate. It does not describe the parameters (project_id, workload_id) beyond what the schema shows, providing no additional meaning or usage hints for those fields.

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 clearly states that the tool provides a one-shot diagnosis including state, unhealthy pods, restart counts, and warning events. It distinguishes itself as an 'ideal first call' for failures, implying a specific role among sibling tools.

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

Usage Guidelines4/5

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

The description explicitly says 'Ideal first call when something is failing,' providing clear usage context. However, it does not mention when to avoid this tool or specify alternatives among siblings, though the context signals list them.

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

Deploy Server