kg_suggest_sample_questions
3 template + 3 LLM-generated sample questions for the knowledge-graph playground.
This record as markdown: /tools/io-stablebaseline-sb/kg-suggest-sample-questions.md
What kg_suggest_sample_questions does on Stable Baseline
AI agents call kg_suggest_sample_questions to retrieve information from Stable Baseline without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
projectId | string | — |
Parameters from the server's own tool schema.
Why kg_suggest_sample_questions is rated Low
This tool produces read-only output (question templates and LLM-generated suggestions) for user guidance. It does not modify, delete, or execute anything, and has negligible blast radius if misused.
From the tool's definition 'sample questions for the knowledge-graph playground' — generates/retrieves suggested questions, no data modification
Attacks that exploit this kind of access
The rule that runs kg_suggest_sample_questions safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Stable Baseline, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For kg_suggest_sample_questions, this is the rule to start with:
kg_suggest_sample_questions is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Stable Baseline, apply this rule, and every kg_suggest_sample_questions call is checked against it from then on.
Questions about kg_suggest_sample_questions
3 template + 3 LLM-generated sample questions for the knowledge-graph playground. It is categorised as a Read tool in the Stable Baseline MCP Server, which means it retrieves data without modifying state.
kg_suggest_sample_questions accepts 1 parameter: projectId. The full parameter table on this page comes from the server's own tool schema.
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.
kg_suggest_sample_questions is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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.
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