Medium Risk

devloop_setup_instructions

Return the V1 "user maintains the flow" install guide — covers Path A (clipboard one-liner), Path B (agent-walked OAuth), and the keploy/api-tests/ on-disk layout V1 creates. Safe to call without authentication; call this when the dev asks 'how do I add Keploy to this repo?' or when a devloop_* t...

Part of the Keploy server.

devloop_setup_instructions 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 devloop_setup_instructions 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 devloop_setup_instructions 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": {
    "devloop_setup_instructions": {
      "limits": [
        {
          "counter": "devloop_setup_instructions_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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

Return the V1 "user maintains the flow" install guide — covers Path A (clipboard one-liner), Path B (agent-walked OAuth), and the keploy/api-tests/ on-disk layout V1 creates. Safe to call without authentication; call this when the dev asks 'how do I add Keploy to this repo?' or when a devloop_* tool returns missing-API-key.. 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 devloop_setup_instructions? +

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

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

Can I rate-limit devloop_setup_instructions? +

Yes. Add a rate_limit block to the devloop_setup_instructions 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_setup_instructions completely? +

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

devloop_setup_instructions 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.

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