Medium Risk

kg_suggest_sample_questions

3 template + 3 LLM-generated sample questions for the knowledge-graph playground.

Part of the Stable Baseline server.

kg_suggest_sample_questions can modify Stable Baseline 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 kg_suggest_sample_questions to create or modify resources in Stable Baseline. 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 kg_suggest_sample_questions 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 Stable Baseline.

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

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

See the full Stable Baseline policy for all 184 tools.

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

3 template + 3 LLM-generated sample questions for the knowledge-graph playground.. It is categorised as a Write tool in the Stable Baseline MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on kg_suggest_sample_questions? +

Register the Stable Baseline MCP server in PolicyLayer and add a rule for kg_suggest_sample_questions: 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 Stable Baseline. Nothing to install.

What risk level is kg_suggest_sample_questions? +

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

Can I rate-limit kg_suggest_sample_questions? +

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

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

kg_suggest_sample_questions is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Stable Baseline tool call.

Deterministic rules across all 184 Stable Baseline tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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