cbs_analyze_local_dataset
AI agents call cbs_analyze_local_dataset to retrieve information from Nl Opendata without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name 'cbs_analyze_local_dataset' strongly implies it performs analysis on an already-downloaded dataset stored locally. Analysis and inspection are read-only operations that do not modify, delete, or execute external operations.
From the tool's definition Tool name contains 'analyze' and 'local_dataset'; siblings include 'cbs_query_dataset', 'cbs_inspect_dataset_details', and 'cbs_get_metadata' which are clearly read operations.
Attacks that exploit this kind of access
cbs_analyze_local_dataset. It is categorised as a Read tool in the Nl Opendata MCP Server, which means it retrieves data without modifying state.
Register the Nl Opendata MCP server in PolicyLayer and add a rule for cbs_analyze_local_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 Nl Opendata. Nothing to install.
cbs_analyze_local_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 cbs_analyze_local_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 cbs_analyze_local_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.
cbs_analyze_local_dataset is provided by the Nl Opendata MCP server (soulnai/nl-opendata-mcp). 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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