Executes multiple SQL queries in parallel for improved performance.
AI agents invoke execute-batch-queries to trigger actions in Mcp Firebird. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
queries | array | Yes | Array of query objects, each containing SQL and optional parameters |
maxConcurrent | integer | — | Maximum number of concurrent queries (default: 5) |
Parameters from the server's own tool schema.
This tool runs SQL queries whose effects depend entirely on the SQL arguments provided. While it could execute SELECT (Read), INSERT/UPDATE (Write), or DROP/DELETE (Destructive), the description does not limit query types. Without explicit guardrails against destructive operations, the tool must be classified as Execute—the capability to run arbitrary code/queries with unpredictable side effects.
From the tool's definition Tool name 'execute-batch-queries' and description 'Executes multiple SQL queries' indicate direct code execution.
Risk signalsAccepts freeform code/query input (queries[].sql) · Bulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Executes multiple SQL queries in parallel for improved performance. It is categorised as a Execute tool in the Mcp Firebird MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
execute-batch-queries accepts 2 parameters: queries, maxConcurrent. Required: queries. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Firebird MCP server in PolicyLayer and add a rule for execute-batch-queries: 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 Firebird. Nothing to install.
execute-batch-queries 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 execute-batch-queries 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 execute-batch-queries. 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.
execute-batch-queries is provided by the Mcp Firebird MCP server (mcp-firebird). 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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