Switch the current database context for subsequent queries
AI agents use use_database to create or update resources in Treasure Data MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Treasure Data MCP Server environment.
This tool changes the session state (active database context) which is a stateful modification, but it doesn't create, delete, or irreversibly alter data. It's more than a read since it changes session configuration, making Write the appropriate category. The blast radius is low as it only affects subsequent queries in the session.
From the tool's definition Switch the current database context for subsequent queries
Documented attack patterns abuse exactly the kind of access use_database gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Treasure Data MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for use_database:
{
"version": "1",
"default": "deny",
"tools": {
"use_database": {
"limits": [
{
"counter": "use_database_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} use_database stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Switch the current database context for subsequent queries. It is categorised as a Write tool in the Treasure Data MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Treasure Data MCP Server MCP server in PolicyLayer and add a rule for use_database: 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 Treasure Data MCP Server. Nothing to install.
use_database is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the use_database 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 use_database. 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.
use_database is provided by the Treasure Data MCP Server MCP server (treasure-data/td-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Treasure Data MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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23 Treasure Data MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.