predict_card
AI agents call predict_card to retrieve information from Bowman Prospects MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Based on the server's stated purpose of classification and value determination, 'predict_card' most likely queries or predicts card attributes (classification, value, player stats) from image input. This is a read operation—it retrieves or infers data about cards without creating, modifying, or deleting records. The empty description lowers confidence slightly, but server context is clear.
From the tool's definition Tool name 'predict_card' combined with server context indicating image recognition classification of baseball cards.
Attacks that exploit this kind of access
predict_card. It is categorised as a Read tool in the Bowman Prospects MCP MCP Server, which means it retrieves data without modifying state.
Register the Bowman Prospects MCP server in PolicyLayer and add a rule for predict_card: 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 Bowman Prospects MCP. Nothing to install.
predict_card 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 predict_card 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 predict_card. 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.
predict_card is provided by the Bowman Prospects MCP server (kayomichael/bowman-prospects-mcp). 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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