Medium Risk

create_test_scenario

Create a new test scenario (multi-step test flow). Use list_test_scenarios first to find valid folderIds and determine ordering.

Part of the Apidog Tests server.

create_test_scenario can modify Apidog Tests 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_test_scenario to create or modify resources in Apidog Tests. 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_test_scenario 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 Apidog Tests.

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

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

See the full Apidog Tests policy for all 30 tools.

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

Create a new test scenario (multi-step test flow). Use list_test_scenarios first to find valid folderIds and determine ordering.. It is categorised as a Write tool in the Apidog Tests 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_test_scenario? +

Register the Apidog Tests MCP server in PolicyLayer and add a rule for create_test_scenario: 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 Apidog Tests. Nothing to install.

What risk level is create_test_scenario? +

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

Can I rate-limit create_test_scenario? +

Yes. Add a rate_limit block to the create_test_scenario 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_test_scenario completely? +

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

create_test_scenario is provided by the Apidog Tests MCP server (@acabala/apidog-tests-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Apidog Tests tool call.

Deterministic rules across all 30 Apidog Tests tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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