Low Risk

validate_workflow

Validate a workflow YAML file for correctness.

How to control validate_workflow ↓

What validate_workflow does on Srunx

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

Low Risk

Why validate_workflow needs a policy

Validation is a read-only operation that parses and checks a workflow YAML file against syntax and semantic rules. It retrieves or inspects data for correctness without creating, modifying, deleting, or executing any jobs or workflows. The blast radius of misuse is minimal—at worst, the tool might reject valid workflows or accept invalid ones, but cannot harm running systems or data.

From the tool's definition Tool is named 'validate_workflow' and described as 'Validate a workflow YAML file for correctness.' The verb 'validate' indicates a checking or verification operation that examines data without modifying it.

Documented attack patterns abuse exactly the kind of access validate_workflow gives an agent:

How to control validate_workflow

PolicyLayer is an MCP gateway — it sits between your AI agents and Srunx, and nothing reaches the server without passing your rules. This is the rule we recommend for validate_workflow:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "validate_workflow": {}
  }
}

validate_workflow is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Srunx — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about validate_workflow

What does the validate_workflow tool do? +

Validate a workflow YAML file for correctness. It is categorised as a Read tool in the Srunx MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_workflow? +

Register the Srunx MCP server in PolicyLayer and add a rule for validate_workflow: 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 Srunx. Nothing to install.

What risk level is validate_workflow? +

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

Can I rate-limit validate_workflow? +

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

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

validate_workflow is provided by the Srunx MCP server (ksterx/srunx). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Srunx tool call.

Start from Srunx, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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14 Srunx tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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