Fetch LangSmith datasets. If no arguments are provided, all datasets will be returned. Args: dataset_ids (str, optional): Dataset IDs as JSON array string or single ID data_type (str, optional): Filter by dataset data type (e.g., 'chat', 'kv') dataset_name (str, optional): Filter by exact dataset...
AI agents call list_datasets 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 |
|---|---|---|---|
limit | number | — | Max number of datasets to return |
metadata | string | — | Filter by metadata as JSON object string |
data_type | string | — | Filter by dataset data type |
dataset_ids | string | — | Dataset IDs as JSON array string or single ID |
dataset_name | string | — | Filter by exact dataset name |
dataset_name_contains | string | — | Filter by substring in dataset name |
Parameters from the server's own tool schema.
This is a pure data retrieval tool that queries and returns datasets based on optional filter criteria. It has no capability to create, modify, delete, or execute operations. The blast radius of misuse is minimal—an agent could potentially list datasets it shouldn't have access to, but this is an authorization/access control concern rather than a tool-level risk.
From the tool's definition Tool name 'list_datasets' and description 'Fetch LangSmith datasets' indicates a retrieval operation. All arguments are filters (dataset_ids, data_type, dataset_name, dataset_name_contains, metadata, limit) with no mutation or deletion capability.
Attacks that exploit this kind of access
Fetch LangSmith datasets. If no arguments are provided, all datasets will be returned. Args: dataset_ids (str, optional): Dataset IDs as JSON array string or single ID data_type (str, optional): Filter by dataset data type (e.g., 'chat', 'kv') dataset_name (str, optional): Filter by exact dataset name dataset_name_contains (str, optional): Filter by substring in dataset name metadata (str, optional): Filter by metadata as JSON object string limit (int): Max number of datasets to return (default: 20). It is categorised as a Read tool in the Langsmith MCP Server, which means it retrieves data without modifying state.
list_datasets accepts 6 parameters: limit, metadata, data_type, dataset_ids, dataset_name, dataset_name_contains. 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 list_datasets: 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.
list_datasets 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 list_datasets 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 list_datasets. 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.
list_datasets 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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