seco_search_datasets

seco_search_datasets

Server Pypi:seco Labor pypi:seco-labor-mcp
Category Read
Risk class Low
Parameters 00 required

What seco_search_datasets does on Pypi:seco Labor

AI agents call seco_search_datasets to retrieve information from Pypi:seco Labor without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why seco_search_datasets needs a policy

This tool searches or lists available datasets within the SECO labor statistics collection. Search and list operations are inherently read-only, returning data without modification, deletion, or execution. The empty description reduces confidence slightly, but the naming pattern and context of sibling tools strongly indicate a data retrieval function.

From the tool's definition Tool name 'seco_search_datasets' and server context show this queries Swiss labor market statistics from opendata.swiss.

Questions about seco_search_datasets

What does the seco_search_datasets tool do? +

seco_search_datasets. It is categorised as a Read tool in the Pypi:seco Labor MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on seco_search_datasets? +

Register the Pypi:seco Labor MCP server in PolicyLayer and add a rule for seco_search_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 Pypi:seco Labor. Nothing to install.

What risk level is seco_search_datasets? +

seco_search_datasets is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit seco_search_datasets? +

Yes. Add a rate_limit block to the seco_search_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.

How do I block seco_search_datasets completely? +

Set action: deny in the PolicyLayer policy for seco_search_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.

What MCP server provides seco_search_datasets? +

seco_search_datasets is provided by the Pypi:seco Labor MCP server (pypi:seco-labor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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