Medium Risk

updateTestCase

PUT /apps/{appId}/recordings/{testSetId}/test-cases/{testCaseId} — Update a test case — Update mutable fields of a recorded test case identified by its friendly name (e.g. test-4 — the name in the recording yaml) within (testSetId, branchId). The body can carry name / http_req / http_resp (respon...

Part of the Keploy server.

updateTestCase 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 updateTestCase 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 updateTestCase 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": {
    "updateTestCase": {
      "limits": [
        {
          "counter": "updatetestcase_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Keploy policy for all 103 tools.

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

PUT /apps/{appId}/recordings/{testSetId}/test-cases/{testCaseId} — Update a test case — Update mutable fields of a recorded test case identified by its friendly name (e.g. test-4 — the name in the recording yaml) within (testSetId, branchId). The body can carry name / http_req / http_resp (response-edit sub-action) AND/OR noise (noise sub-action — a replace-style path → match-substrings map for non-deterministic fields). Both Case-2a sub-actions documented in the LLM workflow are handled by this single endpoint. Pass branch_id to scope the edit to a branch overlay (bundle-uploaded test cases on a branch are invisible to main writes). Requires scope: write.. 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 updateTestCase? +

Register the Keploy MCP server in PolicyLayer and add a rule for updateTestCase: 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 updateTestCase? +

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

Can I rate-limit updateTestCase? +

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

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

updateTestCase 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.

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