AI agents call sg_dataset_query to retrieve information from Sgdata without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves data from Singapore government datasets (data.gov.sg) using exact-match queries. There is no indication of write, delete, execute, or financial operations. The incomplete description ('exact-match and') suggests basic filtering on public data retrieval.
From the tool's definition Tool name 'sg_dataset_query' and description indicate 'Query any data.gov.sg dataset' with 'exact-match' filtering. Query operations on public government datasets are read-only with no side effects.
Attacks that exploit this kind of access
Query any data.gov.sg dataset by ID with simple exact-match and. It is categorised as a Read tool in the Sgdata MCP Server, which means it retrieves data without modifying state.
Register the Sgdata MCP server in PolicyLayer and add a rule for sg_dataset_query: 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 Sgdata. Nothing to install.
sg_dataset_query 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 sg_dataset_query 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 sg_dataset_query. 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.
sg_dataset_query is provided by the Sgdata MCP server (sypherin/sgdata-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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