Read a specific dataset from LangSmith. Either dataset_id or dataset_name must be provided. Args: dataset_id (str, optional): Dataset ID to retrieve dataset_name (str, optional): Dataset name to retrieve
AI agents call read_dataset to retrieve information from Langsmith without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
dataset_id | string | — | Dataset ID to retrieve |
dataset_name | string | — | Dataset name to retrieve |
Parameters from the server's own tool schema.
This tool retrieves data from LangSmith with no capacity to modify, delete, or execute operations. It is a straightforward data retrieval operation with minimal blast radius if misused—an agent could only access datasets it has permissions to view.
From the tool's definition Tool name contains 'read' and description states 'Read a specific dataset from LangSmith.' The arguments (dataset_id or dataset_name) are simple lookup parameters with no side effects.
Attacks that exploit this kind of access
Read a specific dataset from LangSmith. Either dataset_id or dataset_name must be provided. Args: dataset_id (str, optional): Dataset ID to retrieve dataset_name (str, optional): Dataset name to retrieve. It is categorised as a Read tool in the Langsmith MCP Server, which means it retrieves data without modifying state.
read_dataset accepts 2 parameters: dataset_id, dataset_name. The full parameter table on this page comes from the server's own tool schema.
Register the Langsmith MCP server in PolicyLayer and add a rule for read_dataset: 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 Langsmith. Nothing to install.
read_dataset 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 read_dataset 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 read_dataset. 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.
read_dataset is provided by the Langsmith MCP server (langsmith-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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