Get summary information for a specific MLB game.
AI agents call get_game_summary to retrieve information from MLB SportRadar MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries game summary data from the SportRadar MLB API with no side effects, no data modification, no code execution, and no financial implications. It is a straightforward read operation that returns existing game information to the user.
From the tool's definition Tool name 'get_game_summary' and description 'Get summary information for a specific MLB game' indicate data retrieval only.
Attacks that exploit this kind of access
Get summary information for a specific MLB game. It is categorised as a Read tool in the MLB SportRadar MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MLB SportRadar MCP Server MCP server in PolicyLayer and add a rule for get_game_summary: 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 MLB SportRadar MCP Server. Nothing to install.
get_game_summary 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_game_summary 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_game_summary. 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_game_summary is provided by the MLB SportRadar MCP Server MCP server (robcerda/mlb-sportradar-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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