kg_get_entity
Fetch a KG entity by id or name, with the entities directly connected to it. The response also carries datedFacts: what holds now about the entity by default, what held on a day with asOf, or the whole history with history:true, each fact with its dates, how it ended if it has, and the sources th...
This record as markdown: /tools/io-stablebaseline-sb/kg-get-entity.md
What kg_get_entity does on Stable Baseline
AI agents call kg_get_entity 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 |
|---|---|---|---|
asOf | string | — | Dated facts: return what held on this day (YYYY-MM-DD) instead of what holds now. For example the owner, status or supplier as it was on a past date. |
name | string | — | |
history | boolean | — | Dated facts: return every fact with its dates, including facts that have ended (and how they ended) and planned ones, oldest first. Use for "how did X change" o |
entityId | string | — | |
timeZone | string | — | Dated facts: the IANA time zone to give days in (for example Australia/Sydney, Asia/Kolkata, America/New_York). Defaults to the user's saved time zone, else UTC |
projectId | string | — | Scope the lookup to one project. Recommended when resolving by `name`, since the same entity name can exist in several projects. |
Parameters from the server's own tool schema.
Why kg_get_entity is rated Low
Even though kg_get_entity only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs kg_get_entity 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_get_entity, this is the rule to start with:
kg_get_entity 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_get_entity call is checked against it from then on.
Questions about kg_get_entity
Fetch a KG entity by id or name, with the entities directly connected to it. The response also carries datedFacts: what holds now about the entity by default, what held on a day with asOf, or the whole history with history:true, each fact with its dates, how it ended if it has, and the sources that state it. It is categorised as a Read tool in the Stable Baseline MCP Server, which means it retrieves data without modifying state.
kg_get_entity accepts 6 parameters: asOf, name, history, entityId, timeZone, 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_get_entity: 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_get_entity 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_get_entity 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_get_entity. 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_get_entity 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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