team_performace
AI agents call team_performace to retrieve information from Mcp F1analisys without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description, the tool name and server context strongly indicate this performs read-only data analysis on F1 team performance metrics. No indication of data modification, code execution, deletion, or financial operations. The confidence is slightly reduced due to the missing description, but the pattern of sibling tools and server purpose leave little ambiguity.
From the tool's definition Tool name 'team_performace' and server context indicating 'team performance comparisons' within Formula 1 data analysis.
Attacks that exploit this kind of access
team_performace. It is categorised as a Read tool in the Mcp F1analisys MCP Server, which means it retrieves data without modifying state.
Register the Mcp F1analisys MCP server in PolicyLayer and add a rule for team_performace: 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 F1analisys. Nothing to install.
team_performace 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 team_performace 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 team_performace. 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.
team_performace is provided by the Mcp F1analisys MCP server (maxbleu/mcp-f1analisys). 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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