Medium Risk

revops_architect

Architecte RevOps — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Qonto — ARR €200M · 200 reps · forecast ±35% · fuite €4,2M/an identifiée · plan RevOps 12 semaines. Inputs are validated server-side — send the documented case fields.

Risk signalsHigh parameter count (26 properties)

Part of the Mcp Knowledge server.

revops_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 revops_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 revops_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": {
    "revops_architect": {
      "limits": [
        {
          "counter": "revops_architect_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Mcp Knowledge policy for all 271 tools.

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

Architecte RevOps — Gapup agent-payable C-suite expertise (CRO). Returns a structured, audited deliverable. Reference case: Qonto — ARR €200M · 200 reps · forecast ±35% · fuite €4,2M/an identifiée · plan RevOps 12 semaines. 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 revops_architect? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for revops_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 revops_architect? +

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

Can I rate-limit revops_architect? +

Yes. Add a rate_limit block to the revops_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 revops_architect completely? +

Set action: deny in the PolicyLayer policy for revops_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 revops_architect? +

revops_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.

Enforce policy on every Mcp Knowledge tool call.

Deterministic rules across all 271 Mcp Knowledge tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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