Medium Risk

k8s__apply_manifest

Apply a manifest string with server-side dry-run

Part of the Devops server.

k8s__apply_manifest can modify Devops data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use k8s__apply_manifest to create or modify resources in Devops. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call k8s__apply_manifest repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Devops.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "k8s__apply_manifest": {
      "limits": [
        {
          "counter": "k8s__apply_manifest_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Devops policy for all 21 tools.

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These attack patterns abuse exactly the kind of access k8s__apply_manifest gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so k8s__apply_manifest only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the k8s__apply_manifest tool do? +

Apply a manifest string with server-side dry-run. It is categorised as a Write tool in the Devops MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on k8s__apply_manifest? +

Register the Devops MCP server in PolicyLayer and add a rule for k8s__apply_manifest: 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 Devops. Nothing to install.

What risk level is k8s__apply_manifest? +

k8s__apply_manifest is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit k8s__apply_manifest? +

Yes. Add a rate_limit block to the k8s__apply_manifest 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 k8s__apply_manifest completely? +

Set action: deny in the PolicyLayer policy for k8s__apply_manifest. 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 k8s__apply_manifest? +

k8s__apply_manifest is provided by the Devops MCP server (@notharshhaa/devops-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Devops tool call.

Deterministic rules across all 21 Devops tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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