This record as markdown: /tools/bcusack-bybit-py-mcp/get-risk-limit.md
What get_risk_limit does on Bybit MCP Server
AI agents call get_risk_limit to retrieve information from Bybit MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_risk_limit is rated Low
This tool retrieves risk limit information from the Bybit exchange without modifying, deleting, or executing any operations. It is a read-only query operation that returns account or market risk parameters. While it operates in a financial context (Bybit exchange), it does not move money, commit obligations, or execute trades—it only reads data.
From the tool's definition Tool name 'get_risk_limit' and description 'Get risk limit information' indicate a retrieval operation with no side effects. The verb 'Get' explicitly denotes data querying.
Attacks that exploit this kind of access
The rule that runs get_risk_limit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Bybit MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_risk_limit, this is the rule to start with:
get_risk_limit is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Bybit MCP Server, apply this rule, and every get_risk_limit call is checked against it from then on.
Questions about get_risk_limit
Get risk limit information. 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 get_risk_limit: 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.
get_risk_limit 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 get_risk_limit 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 get_risk_limit. 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.
get_risk_limit is provided by the Bybit MCP Server MCP server (bcusack/bybit-py-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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