daily_summary

THE RISK

Low Risk

Why daily_summary needs a policy

This tool queries NBA statistics and returns game information. It has no side effects, does not execute code or commands, does not modify data, and does not involve financial transactions. The worst-case misuse scenario (returning incorrect sports statistics) has negligible blast radius. Confidence is high because the description clearly indicates read-only data retrieval.

From the tool's definition Tool returns 'all games + scores for a date' — retrieves and queries data with no modification, deletion, or execution capability. Aligns with sibling tools (get_box_score, get_game_details, get_leaders, etc.) which are all read-only data retrieval.

Documented attack patterns abuse exactly the kind of access daily_summary gives an agent:

POLICY

How to control daily_summary

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 daily_summary:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "daily_summary": {}
  }
}

daily_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Nba Stats — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Nba Stats tools

Read compare_players Compare two players side by side. Accepts names or IDs. Read find_game Find game_id by team matchup and optional date. Accepts team names. Read get_box_score Full box score with player stats. Accepts game_id. Read get_game_details Detailed game info. Accepts game_id. Read get_game_rotation Player rotation/substitution data for a game. Read get_leaders League leaders. scope: current_season (default), all_time, hustle. category: points, assis Read get_play_by_play Play-by-play data for a game. Read get_player_awards Player awards/accolades. Accepts player name or ID.

All 21 Nba Stats tools →

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about daily_summary

What does the daily_summary tool do? +

All games + scores for a date. Defaults to today. It is categorised as a Read tool in the Nba Stats MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on daily_summary? +

Register the Nba Stats MCP server in PolicyLayer and add a rule for daily_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 Nba Stats. Nothing to install.

What risk level is daily_summary? +

daily_summary is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit daily_summary? +

Yes. Add a rate_limit block to the daily_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.

How do I block daily_summary completely? +

Set action: deny in the PolicyLayer policy for daily_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.

What MCP server provides daily_summary? +

daily_summary 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.

Enforce policy on every Nba Stats tool call.

Start from Nba Stats, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →