Medium Risk

plan_reproduction_path

Create a source-first plan that separates exact embed/source reuse from local capture and bounded rebuild work.

Part of the webEmbedding server.

plan_reproduction_path can modify webEmbedding 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 plan_reproduction_path to create or modify resources in webEmbedding. 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 plan_reproduction_path 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 webEmbedding.

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

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

See the full webEmbedding policy for all 6 tools.

Get this rule live on your own webEmbedding server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access plan_reproduction_path 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 plan_reproduction_path 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 plan_reproduction_path tool do? +

Create a source-first plan that separates exact embed/source reuse from local capture and bounded rebuild work.. It is categorised as a Write tool in the webEmbedding MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plan_reproduction_path? +

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

What risk level is plan_reproduction_path? +

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

Can I rate-limit plan_reproduction_path? +

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

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

plan_reproduction_path is provided by the webEmbedding MCP server (web-embedding). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every webEmbedding tool call.

Deterministic rules across all 6 webEmbedding tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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