Analyzes the performance of a SQL query by executing it multiple times and measuring execution time
AI agents invoke analyze-query-performance 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.
Although framed as a performance analysis tool, it works by actually executing the provided SQL query multiple times. If the query contains DML (INSERT, UPDATE, DELETE) or DDL (DROP, ALTER), repeated execution could cause significant data modification or destruction. The repeated execution multiplies any harmful side effects.
From the tool's definition 'Analyzes the performance of a SQL query by executing it multiple times and measuring execution time' — the tool actually executes the SQL query repeatedly against the database
Documented attack patterns abuse exactly the kind of access analyze-query-performance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Firebird, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze-query-performance:
{
"version": "1",
"default": "deny",
"tools": {
"analyze-query-performance": {
"limits": [
{
"counter": "analyze-query-performance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}analyze-query-performance 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.
Free to start. No card required.
Analyzes the performance of a SQL query by executing it multiple times and measuring execution time. 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.
Register the MCP Firebird MCP server in PolicyLayer and add a rule for analyze-query-performance: 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.
analyze-query-performance 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 analyze-query-performance 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 analyze-query-performance. 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.
analyze-query-performance is provided by the MCP Firebird MCP server (purodelphi/mcpfirebird). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 MCP Firebird tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
22 MCP Firebird tools catalogued and risk-classified — across an index of 42,500+ MCP servers.