generate_multi_model_tests

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/generate-multi-model-tests.md

WHAT IT DOES

What generate_multi_model_tests does on FeatureBoard

AI agents use generate_multi_model_tests to create or update resources in FeatureBoard, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FeatureBoard environment.

RISK

Why generate_multi_model_tests is rated Medium

An AI agent can call generate_multi_model_tests faster than any human can review: one bad instruction and it creates or modifies resources in FeatureBoard by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs generate_multi_model_tests safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FeatureBoard, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For generate_multi_model_tests, this is the rule to start with:

generate_multi_model_tests Rate-limited

generate_multi_model_tests stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_multi_model_tests": {
      "limits": [
        {
          "counter": "generate_multi_model_tests_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FeatureBoard, apply this rule, and every generate_multi_model_tests call is checked against it from then on.

FAQ

Questions about generate_multi_model_tests

What does the generate_multi_model_tests tool do? +

For a bug/ticket, fan one generation prompt out across model tiers (default fable, opus, sonnet) — each surfaces different failure concepts. Returns the SAME prompt once per tier plus a per-tier storage path (test/<ticket>.<model>.test.js) and instruction. Read-only: run each tier yourself, then submit results to save_generated_test. Builds on suggest_test_stub / generate_test (FBMCPF-102). It is categorised as a Write tool in the FeatureBoard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on generate_multi_model_tests? +

Register the FeatureBoard MCP server in PolicyLayer and add a rule for generate_multi_model_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 FeatureBoard. Nothing to install.

What risk level is generate_multi_model_tests? +

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

Can I rate-limit generate_multi_model_tests? +

Yes. Add a rate_limit block to the generate_multi_model_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 generate_multi_model_tests completely? +

Set action: deny in the PolicyLayer policy for generate_multi_model_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 generate_multi_model_tests? +

generate_multi_model_tests is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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