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devloop_expand_coverage

Expand V1 API-test coverage from the single seed flow to the remaining detected resources. Use this AFTER devloop_mutation_demo has surfaced a positive catch result for the FIRST resource — that's the "manufactured proof" gate the dev needed before agreeing to scale. Returns a procedure that loop...

Risk signalsAccepts URL/endpoint input (base_url) · Bulk/mass operation — affects multiple targets

Part of the Keploy server.

devloop_expand_coverage can trigger actions in Keploy, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke devloop_expand_coverage to trigger processes or run actions in Keploy. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

devloop_expand_coverage can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "devloop_expand_coverage": {
      "limits": [
        {
          "counter": "devloop_expand_coverage_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Keploy policy for all 103 tools.

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

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the devloop_expand_coverage tool do? +

Expand V1 API-test coverage from the single seed flow to the remaining detected resources. Use this AFTER devloop_mutation_demo has surfaced a positive catch result for the FIRST resource — that's the "manufactured proof" gate the dev needed before agreeing to scale. Returns a procedure that loops over the dev-approved candidates: for each resource: devloop_generate_resource_flow(app_id, resource, app_dir, base_url) ASK dev: continue / stop / pick a different resource end Mutation demo is NOT in the per-resource loop. Once a session has seen mutation_demo run on the seed resource and prove its catch behavior, re-firing it for every new resource produces busywork. The dev opts in to mutation-on-expanded-resources via the post-expand multi-option menu (see DevloopInstructionsAddendum "After devloop_expand_coverage"), not as a default step inside this loop. If the dev asks "mutate this too" mid-expand, fine — fire devloop_mutation_demo on that resource on demand. Stop conditions: * Dev says "stop" / "enough" / "later" → exit cleanly. * Any generate step errors → surface to dev, ASK whether to retry, skip, or stop. DO NOT silently run all candidates without dev confirmation per resource — the DEVLOOP decision-gate defaults explicitly require an opt-in between each resource, because (a) the dev may want to inspect each test before approving the next, and (b) a tangentially-named candidate may be the wrong fit and the dev wants to swap.. It is categorised as a Execute tool in the Keploy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on devloop_expand_coverage? +

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

devloop_expand_coverage is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit devloop_expand_coverage? +

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

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

devloop_expand_coverage 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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