pipeline_preview_rule_assignment

Dry-run an

SERVERMax MCP Server SOURCEdigital-crew-technologies/max-mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/digital-crew-technologies-max-mcp-server/pipeline-preview-rule-assignment.md

WHAT IT DOES

What pipeline_preview_rule_assignment does on Max MCP Server

AI agents invoke pipeline_preview_rule_assignment to trigger actions in Max MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why pipeline_preview_rule_assignment is rated High

Executes rule assignment logic in preview mode; non-destructive but runs external operations.

From the tool's definition Dry-run an pipeline preview rule assignment; tests effects without committing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pipeline_preview_rule_assignment safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Max MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pipeline_preview_rule_assignment, this is the rule to start with:

pipeline_preview_rule_assignment Rate-limited

pipeline_preview_rule_assignment stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "pipeline_preview_rule_assignment": {
      "limits": [
        {
          "counter": "pipeline_preview_rule_assignment_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Max MCP Server, apply this rule, and every pipeline_preview_rule_assignment call is checked against it from then on.

FAQ

Questions about pipeline_preview_rule_assignment

What does the pipeline_preview_rule_assignment tool do? +

Dry-run an. It is categorised as a Execute tool in the Max MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on pipeline_preview_rule_assignment? +

Register the Max MCP Server MCP server in PolicyLayer and add a rule for pipeline_preview_rule_assignment: 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 Max MCP Server. Nothing to install.

What risk level is pipeline_preview_rule_assignment? +

pipeline_preview_rule_assignment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit pipeline_preview_rule_assignment? +

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

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

pipeline_preview_rule_assignment is provided by the Max MCP Server MCP server (digital-crew-technologies/max-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Max MCP Server, and thousands of servers like it.

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Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →