Medium Risk

create_mock

Author a single mock inside a test set. Use this when the dev wants to add a hand-written downstream-call recording (HTTP response, DB result, etc.) without re-running the full record session. Authoring shape — pick ONE: * mock_yaml (PREFERRED) — canonical single-doc YAML envelope (version / kind...

Part of the Keploy server.

create_mock can modify Keploy 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 create_mock to create or modify resources in Keploy. 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 create_mock 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 Keploy.

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

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

See the full Keploy policy for all 103 tools.

Get this rule live on your own Keploy 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 create_mock 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 create_mock 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 create_mock tool do? +

Author a single mock inside a test set. Use this when the dev wants to add a hand-written downstream-call recording (HTTP response, DB result, etc.) without re-running the full record session. Authoring shape — pick ONE: * mock_yaml (PREFERRED) — canonical single-doc YAML envelope (version / kind / name / spec). Round-trips kind-specific contents losslessly. * mock — typed OSS Mock object { Name, Kind, Spec }. Brittle: lowercase canonical keys are dropped during decode; use only when authoring from typed Go shapes. When both are sent, mock_yaml wins. branch_id is REQUIRED — direct writes to main via MCP are blocked. Resolve via list_branches / create_branch before calling. Returns the persisted mock. Idempotent on (Name, test_set_id, branch) at the storage layer — a retry with the same name and branch returns the existing row instead of duplicating.. It is categorised as a Write tool in the Keploy MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_mock? +

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

What risk level is create_mock? +

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

Can I rate-limit create_mock? +

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

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

create_mock is provided by the Keploy MCP server (https://api.keploy.io/client/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Keploy tool call.

Deterministic rules across all 103 Keploy tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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