Medium Risk

growth_path_architect

Architecte de croissance — Gapup agent-payable C-suite expertise (CSO). Returns a structured, audited deliverable. Reference case: Pennylane (€30M ARR) — 3 voies de croissance · Mix recommandé : Organique + Geo EU · ARR cible €120M en 36 mois. Inputs are validated server-side — send the documente...

Risk signalsHigh parameter count (19 properties)

Part of the Mcp Knowledge server.

growth_path_architect can modify Mcp Knowledge 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 growth_path_architect to create or modify resources in Mcp Knowledge. 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 growth_path_architect 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 Mcp Knowledge.

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

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

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so growth_path_architect 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 growth_path_architect tool do? +

Architecte de croissance — Gapup agent-payable C-suite expertise (CSO). Returns a structured, audited deliverable. Reference case: Pennylane (€30M ARR) — 3 voies de croissance · Mix recommandé : Organique + Geo EU · ARR cible €120M en 36 mois. Inputs are validated server-side — send the documented case fields.. It is categorised as a Write tool in the Mcp Knowledge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on growth_path_architect? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for growth_path_architect: 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 Mcp Knowledge. Nothing to install.

What risk level is growth_path_architect? +

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

Can I rate-limit growth_path_architect? +

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

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

growth_path_architect is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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