Low Risk

get_league_schedule

Return today's (or a given date's) game schedule for a league. Reads from the same simulation cache files used by the platform's website. Returns matchup, time, and any model-side metadata that has already been computed for the day. Args: league: One of NBA, NHL, CBB, NFL, MLB, SOCCER, LOL, CS2, ...

Part of the Olympus Bets Analytics server.

get_league_schedule is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call get_league_schedule to retrieve information from Olympus Bets Analytics without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though get_league_schedule only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_league_schedule": {}
  }
}

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Get this rule live on your own Olympus Bets Analytics server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access get_league_schedule gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so get_league_schedule only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the get_league_schedule tool do? +

Return today's (or a given date's) game schedule for a league. Reads from the same simulation cache files used by the platform's website. Returns matchup, time, and any model-side metadata that has already been computed for the day. Args: league: One of NBA, NHL, CBB, NFL, MLB, SOCCER, LOL, CS2, TENNIS, WNBA, CFB, GOLF. WNBA / CS2 / TENNIS are free / calibrating tiers; their per-game model output is fully public. NFL / CFB return their most recent slate (offseason as of mid-2026). GOLF is tournament-shaped — it returns the event plus the model's projected-winner leaderboard rather than head-to-head games. date: YYYY-MM-DD. Defaults to today (Eastern time). Returns: Team / esports / tennis leagues: {league, date, count, games: [...]}. GOLF: {league, date, event, round, count, projected_winners: [...]}.. It is categorised as a Read tool in the Olympus Bets Analytics MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_league_schedule? +

Register the Olympus Bets Analytics MCP server in PolicyLayer and add a rule for get_league_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 Olympus Bets Analytics. Nothing to install.

What risk level is get_league_schedule? +

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

Can I rate-limit get_league_schedule? +

Yes. Add a rate_limit block to the get_league_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.

How do I block get_league_schedule completely? +

Set action: deny in the PolicyLayer policy for get_league_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.

What MCP server provides get_league_schedule? +

get_league_schedule is provided by the Olympus Bets Analytics MCP server (https://app.olympus-bets.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Olympus Bets Analytics tool call.

Deterministic rules across all 9 Olympus Bets Analytics tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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