db_query
Execute a single SQL statement against a database. Supports SELECT, INSERT, UPDATE, DELETE, CREATE TABLE, etc. Use
This record as markdown: /tools/cloud-easybits-easybits/db-query.md
What db_query does on EasyBits
AI agents invoke db_query to trigger actions in EasyBits. 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.
Why db_query is rated High
Supports arbitrary SQL including destructive DDL/DML operations against a database.
From the tool's definition Execute a single SQL statement... SELECT, INSERT, UPDATE, DELETE, CREATE TABLE
Attacks that exploit this kind of access
The rule that runs db_query safely
PolicyLayer is an MCP gateway: it sits between your AI agents and EasyBits, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For db_query, this is the rule to start with:
db_query stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect EasyBits, apply this rule, and every db_query call is checked against it from then on.
Questions about db_query
Execute a single SQL statement against a database. Supports SELECT, INSERT, UPDATE, DELETE, CREATE TABLE, etc. Use. It is categorised as a Execute tool in the EasyBits MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the EasyBits MCP server in PolicyLayer and add a rule for db_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 EasyBits. Nothing to install.
db_query 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 db_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 db_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.
db_query is provided by the EasyBits MCP server (@easybits.cloud/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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