Low Risk

listTestSuites

GET /apps/{appId}/test-suites — List test suites — List test suites for an app. Optional has_sandbox_test query param filters by sandbox-test linkage: true returns only suites that have a sandbox test (linked=true / test_set_id populated); false returns only suites without one. Omit to return eve...

Risk signalsBulk/mass operation — affects multiple targets

Part of the Keploy server.

listTestSuites 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 listTestSuites to retrieve information from Keploy 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 listTestSuites 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": {
    "listTestSuites": {}
  }
}

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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 listTestSuites 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 listTestSuites 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 listTestSuites tool do? +

GET /apps/{appId}/test-suites — List test suites — List test suites for an app. Optional has_sandbox_test query param filters by sandbox-test linkage: true returns only suites that have a sandbox test (linked=true / test_set_id populated); false returns only suites without one. Omit to return every suite. Requires scope: read. Supports cursor-based pagination.. It is categorised as a Read tool in the Keploy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on listTestSuites? +

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

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

Can I rate-limit listTestSuites? +

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

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

listTestSuites 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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