Get the event history of a workflow execution in chronological order.
AI agents call temporal.workflow.history to retrieve information from Temporal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves historical data about a workflow execution. It performs no write, delete, or side effects—it only queries and returns information. The read-only nature of the Temporal MCP server and the passive verb 'Get' confirm this is a Read category tool with low severity since it cannot alter system state or cause harm beyond potential information disclosure.
From the tool's definition Tool description states 'Get the event history' which is a retrieval operation with no modification. The server is explicitly described as providing 'read-only access to Temporal infrastructure.' The verb 'Get' and the context of querying historical events…
Documented attack patterns abuse exactly the kind of access temporal.workflow.history gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Temporal, and nothing reaches the server without passing your rules. This is the rule we recommend for temporal.workflow.history:
{
"version": "1",
"default": "deny",
"tools": {
"temporal.workflow.history": {}
}
} temporal.workflow.history is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the event history of a workflow execution in chronological order. It is categorised as a Read tool in the Temporal MCP Server, which means it retrieves data without modifying state.
Register the Temporal MCP server in PolicyLayer and add a rule for temporal.workflow.history: 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 Temporal. Nothing to install.
temporal.workflow.history 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 temporal.workflow.history 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 temporal.workflow.history. 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.
temporal.workflow.history is provided by the Temporal MCP server (stevekinney/temporal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Temporal, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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28 Temporal tools catalogued and risk-classified — across an index of 43,000+ MCP servers.