Execute multiple operations within a transaction
AI agents invoke datastore_runInTransaction to trigger actions in MCP Datastore Server. 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.
This tool executes multiple Firestore operations within a transaction boundary. While transactions themselves provide consistency guarantees, the tool's purpose is to trigger execution of whatever operations are specified within the transaction.
From the tool's definition Tool name 'datastore_runInTransaction' combined with description 'Execute multiple operations within a transaction' indicates execution of arbitrary database operations.
Attacks that exploit this kind of access
Execute multiple operations within a transaction. It is categorised as a Execute tool in the MCP Datastore Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Datastore Server MCP server in PolicyLayer and add a rule for datastore_runInTransaction: 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 MCP Datastore Server. Nothing to install.
datastore_runInTransaction 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 datastore_runInTransaction 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 datastore_runInTransaction. 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.
datastore_runInTransaction is provided by the MCP Datastore Server MCP server (petekmet/mcp-gcp-datastore). 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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