Medium Risk

approve_tests

Approve a proposed test plan so implementation can proceed. Transitions workflow from tests_proposed to tests_approved. This is the human approval gate in the TDD workflow.

Part of the Elixium Ai server.

approve_tests can modify Elixium Ai 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 approve_tests to create or modify resources in Elixium Ai. 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 approve_tests 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 Elixium Ai.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "approve_tests": {
      "limits": [
        {
          "counter": "approve_tests_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Elixium Ai policy for all 43 tools.

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

Approve a proposed test plan so implementation can proceed. Transitions workflow from tests_proposed to tests_approved. This is the human approval gate in the TDD workflow.. It is categorised as a Write tool in the Elixium Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on approve_tests? +

Register the Elixium Ai MCP server in PolicyLayer and add a rule for approve_tests: 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 Elixium Ai. Nothing to install.

What risk level is approve_tests? +

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

Can I rate-limit approve_tests? +

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

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

approve_tests is provided by the Elixium Ai MCP server (@elixium.ai/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Elixium Ai tool call.

Deterministic rules across all 43 Elixium Ai tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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