compare_players

THE RISK

Low Risk

Why compare_players needs a policy

The tool retrieves and presents existing NBA statistics for comparison purposes only. It performs a read-only query against the NBA statistics database. No side effects, modifications, or external operations are possible. The natural language context confirms this is a statistics query service.

From the tool's definition Tool description states 'Compare two players side by side. Accepts names or IDs.' This is a data retrieval and comparison operation with no capability to modify, delete, or execute external operations.

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

POLICY

How to control compare_players

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 compare_players:

policy.json

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

compare_players 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 daily_summary All games + scores for a date. Defaults to today. 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 →

Read tools on other servers

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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 compare_players

What does the compare_players tool do? +

Compare two players side by side. Accepts names or IDs. 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 compare_players? +

Register the Nba Stats MCP server in PolicyLayer and add a rule for compare_players: 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 compare_players? +

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

Can I rate-limit compare_players? +

Yes. Add a rate_limit block to the compare_players 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 compare_players completely? +

Set action: deny in the PolicyLayer policy for compare_players. 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 compare_players? +

compare_players 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 →