Get detailed trace information for a specific run, including input, output, and execution details.
Part of the Langchain server.
Free to start. No card required.
AI agents call langgraph_get_run to retrieve information from Langchain 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 langgraph_get_run 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": {
"langgraph_get_run": {}
}
}See the full Langchain policy for all 9 tools.
These attack patterns abuse exactly the kind of access langgraph_get_run 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.
Get detailed trace information for a specific run, including input, output, and execution details.. It is categorised as a Read tool in the Langchain MCP Server, which means it retrieves data without modifying state.
Register the Langchain MCP server in PolicyLayer and add a rule for langgraph_get_run: 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 Langchain. Nothing to install.
langgraph_get_run 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 langgraph_get_run 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 langgraph_get_run. 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.
langgraph_get_run is provided by the Langchain MCP server (langchain-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 Langchain tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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