Low Risk

wopee_fetch_executed_test_cases

Retrieve results of test cases executed by the autonomous agent. Returns each test case with its execution status (IN_PROGRESS, FINISHED, FAILED), agent report (natural language findings), and code report (technical details). Read-only: does not trigger any execution. Use this after wopee_dispatc...

Part of the Wopee server.

wopee_fetch_executed_test_cases is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call wopee_fetch_executed_test_cases to retrieve information from Wopee without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though wopee_fetch_executed_test_cases only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "wopee_fetch_executed_test_cases": {}
  }
}

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These attack patterns abuse exactly the kind of access wopee_fetch_executed_test_cases 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 wopee_fetch_executed_test_cases only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the wopee_fetch_executed_test_cases tool do? +

Retrieve results of test cases executed by the autonomous agent. Returns each test case with its execution status (IN_PROGRESS, FINISHED, FAILED), agent report (natural language findings), and code report (technical details). Read-only: does not trigger any execution. Use this after wopee_dispatch_agent to check results — if status is IN_PROGRESS, wait and call again. Requires suite UUID. Optionally accepts an analysis identifier (e.g. A068, found in suite data) to filter to a specific analysis run. Returns an empty array if no test cases have been executed in this suite. Do NOT use this to fetch test artifacts like user stories or code — use wopee_fetch_artifact for that.. It is categorised as a Read tool in the Wopee MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on wopee_fetch_executed_test_cases? +

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

What risk level is wopee_fetch_executed_test_cases? +

wopee_fetch_executed_test_cases is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit wopee_fetch_executed_test_cases? +

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

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

wopee_fetch_executed_test_cases is provided by the Wopee MCP server (wopee-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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