Get awards for a player by their ID.
AI agents call get_player_awards to retrieve information from NBA MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns existing NBA player award information without creating, modifying, deleting, or executing any operations. It is a straightforward data retrieval function with no side effects, fitting the Read category.
From the tool's definition Tool retrieves awards data for a player; described as 'Get awards for a player by their ID' with no modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
Get awards for a player by their ID. It is categorised as a Read tool in the NBA MCP Server MCP Server, which means it retrieves data without modifying state.
Register the NBA MCP Server MCP server in PolicyLayer and add a rule for get_player_awards: 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 NBA MCP Server. Nothing to install.
get_player_awards 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_player_awards 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_player_awards. 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_player_awards is provided by the NBA MCP Server MCP server (stevenyuser/nba_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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