Team upcoming schedule. Accepts team name or ID.
AI agents call get_schedule to retrieve information from Nba Stats 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 publicly available NBA team schedule information. It has no side effects, does not modify data, execute code, delete information, or involve financial transactions. It is a straightforward read operation consistent with other data retrieval tools on this server (get_player_info, get_game_details, etc.).
From the tool's definition Tool name 'get_schedule' and description 'Team upcoming schedule' indicate retrieval of static schedule data with no modification, deletion, or execution capabilities. Accepts team name or ID as input parameters.
Documented attack patterns abuse exactly the kind of access get_schedule gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Nba Stats, and nothing reaches the server without passing your rules. This is the rule we recommend for get_schedule:
{
"version": "1",
"default": "deny",
"tools": {
"get_schedule": {}
}
}get_schedule is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Team upcoming schedule. Accepts team name or ID. It is categorised as a Read tool in the Nba Stats MCP Server, which means it retrieves data without modifying state.
Register the Nba Stats MCP server in PolicyLayer and add a rule for get_schedule: 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 Stats. Nothing to install.
get_schedule 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_schedule 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_schedule. 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_schedule is provided by the Nba Stats MCP server (labeveryday/nba-stats-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Nba Stats, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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21 Nba Stats tools catalogued and risk-classified — across an index of 43,000+ MCP servers.