query_dataset
AI agents invoke query_dataset to trigger actions in Utsunomiya. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
Given the server context (querying open datasets with natural language, filtering, statistical analysis) and sibling tools (analyze_dataset, get_dataset_schema, list_datasets, search_datasets), 'query_dataset' most likely executes queries against datasets. Since the description is empty, there is uncertainty about whether it is read-only or can execute arbitrary/destructive queries.
From the tool's definition Tool name is 'query_dataset'; description is empty and uninformative.
Attacks that exploit this kind of access
query_dataset. It is categorised as a Execute tool in the Utsunomiya MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Utsunomiya MCP server in PolicyLayer and add a rule for query_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 Utsunomiya. Nothing to install.
query_dataset is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the query_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 query_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.
query_dataset is provided by the Utsunomiya MCP server (takurot/utsunomiya-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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