Unified Knowledge Graph retrieval. PICK THE MODE THAT FITS THE QUERY: • mode='local' (default) — for SPECIFIC factual questions ("what does §15 say about deposits?", "who is the Chief Counsel?"). FTS+vector RRF over individual document chunks. Returns precise excerpts with citations. • mode='glob...
Risk signalsAccepts freeform code/query input (query)
Part of the Stable Baseline server.
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AI agents call kg_search to retrieve information from Stable Baseline without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though kg_search only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"kg_search": {}
}
}See the full Stable Baseline policy for all 184 tools.
These attack patterns abuse exactly the kind of access kg_search gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Unified Knowledge Graph retrieval. PICK THE MODE THAT FITS THE QUERY: • mode='local' (default) — for SPECIFIC factual questions ("what does §15 say about deposits?", "who is the Chief Counsel?"). FTS+vector RRF over individual document chunks. Returns precise excerpts with citations. • mode='global' — for THEMATIC / OVERVIEW / SUMMARY questions ("what are the main themes", "give me an overview of the project", "what topics does this cover"). Returns Louvain community summaries + curated wiki pages — far better than 'local' for big-picture queries because community summaries already aggregate across many chunks. ALWAYS PREFER over 'local' when the user asks for themes / summary / overview / topic landscape. • mode='graph' — for RELATIONSHIP questions ("what's connected to entity X?", "who cites Section 5?"). 1-hop entity-neighbourhood walk. Pass query OR srcEntityId. • mode='path' — for CONNECTION questions ("how does X relate to Y?"). Shortest path between two entities. Pass srcEntityId AND dstEntityId. • mode='ppr' — for MULTI-HOP discovery ("what's relevant to X, even indirectly?"). Personalised PageRank over AUTHORED-vs-EXTRACTED weighted edges, seeded by query-similar entities. Best when 'local' returns too few results and the answer requires walking through several entity hops. Quick decision tree: - User asks for an overview/summary/themes → 'global' - User asks a specific question with a clear answer → 'local' - User asks 'how is X connected to Y' → 'path' (with both entity IDs) - User asks 'what's near entity X' → 'graph' (with srcEntityId) - 'local' returned nothing useful and the question is broad → retry with 'ppr'. It is categorised as a Read tool in the Stable Baseline MCP Server, which means it retrieves data without modifying state.
Register the Stable Baseline MCP server in PolicyLayer and add a rule for kg_search: 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_search 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_search 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_search. 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_search 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.
Deterministic rules across all 184 Stable Baseline tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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