kg_backlinks
Linked-mentions rail: every edge whose dst matches the named entity.
This record as markdown: /tools/io-stablebaseline-sb/kg-backlinks.md
What kg_backlinks does on Stable Baseline
AI agents call kg_backlinks 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 |
|---|---|---|---|
name | string | Yes |
Parameters from the server's own tool schema.
Why kg_backlinks is rated Low
The tool retrieves backlink relationships in the Knowledge Graph for a named entity. It is a pure read/query operation with no side effects, modifications, or destructive actions. Misuse risk is low as it only exposes relationship data.
From the tool's definition 'every edge whose dst matches the named entity' — this is a query/lookup operation retrieving linked mentions from the Knowledge Graph
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs kg_backlinks 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_backlinks, this is the rule to start with:
kg_backlinks 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_backlinks call is checked against it from then on.
Questions about kg_backlinks
Linked-mentions rail: every edge whose dst matches the named entity. It is categorised as a Read tool in the Stable Baseline MCP Server, which means it retrieves data without modifying state.
kg_backlinks accepts 1 parameter: name. Required: name. 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_backlinks: 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_backlinks 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_backlinks 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_backlinks. 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_backlinks 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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