Validates the input parameters for creating a spot grid bot, returning\nacceptable ranges for each parameter (investment amount, grid count,\nprice bounds, stop-loss, take-profit, etc.) and a check code indicating\nany validation errors.\n\nUse this endpoint before calling createGridBot to ensure...
AI agents call validateGridInput to retrieve information from Bybit MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only validates and queries parameter constraints—it retrieves information about valid input ranges without modifying state, executing trades, or triggering external operations. It is purely informational (Read category), with minimal risk (low severity) if misused by an AI agent, as it cannot cause financial loss or other harmful effects on its own.
From the tool's definition Validates input parameters and returns acceptable ranges and validation errors. No side effects: "Does not require authentication (guest mode, rate limit: 100 qps per IP)" and explicitly stated as a validation check "before calling createGridBot to ensure…
Documented attack patterns abuse exactly the kind of access validateGridInput gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Bybit MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for validateGridInput:
{
"version": "1",
"default": "deny",
"tools": {
"validateGridInput": {}
}
}validateGridInput is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Validates the input parameters for creating a spot grid bot, returning\nacceptable ranges for each parameter (investment amount, grid count,\nprice bounds, stop-loss, take-profit, etc.) and a check code indicating\nany validation errors.\n\nUse this endpoint before calling createGridBot to ensure parameters are\nwithin valid ranges. The response includes min/max ranges for every\nconfigurable field, plus a check_code enum that pinpoints the exact\nvalidation issue (if any).\n\nDoes not require authentication (guest mode, rate limit: 100 qps per IP).\n\nAgent hint: Always call this before createGridBot to pre-validate parameters.\nThe check_code field in the response tells you exactly what is wrong.\nA check_code of 0 means all parameters are valid. It is categorised as a Read tool in the Bybit MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Bybit MCP Server MCP server in PolicyLayer and add a rule for validateGridInput: 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 Bybit MCP Server. Nothing to install.
validateGridInput is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the validateGridInput 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 validateGridInput. 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.
validateGridInput is provided by the Bybit MCP Server MCP server (bybit-exchange/trading-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Bybit MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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326 Bybit MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.