AI agents invoke generateQuery to trigger actions in MCP Server Generator. 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.
The name 'generateQuery' suggests constructing and potentially executing a query. Given the server context (MCP server generation/management) and sibling tools that include browser automation and data analysis, this tool likely generates and runs queries against some data source or configuration system.
From the tool's definition Tool name 'generateQuery' on a server that 'Creates, manages, and registers custom MCP servers' and includes sibling tools like 'analyzeData', 'executeScript'-class tools. Description is empty.
Documented attack patterns abuse exactly the kind of access generateQuery gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Server Generator, and nothing reaches the server without passing your rules. This is the rule we recommend for generateQuery:
{
"version": "1",
"default": "deny",
"tools": {
"generateQuery": {
"limits": [
{
"counter": "generatequery_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}generateQuery 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.
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generateQuery. It is categorised as a Execute tool in the MCP Server Generator MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Server Generator MCP server in PolicyLayer and add a rule for generateQuery: 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 Server Generator. Nothing to install.
generateQuery 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 generateQuery 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 generateQuery. 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.
generateQuery is provided by the MCP Server Generator MCP server (serhatuzbas/mcp-server-generator). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Server Generator, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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79 MCP Server Generator tools catalogued and risk-classified — across an index of 43,000+ MCP servers.