Low Risk

find_match

Find a football/basketball fixture by natural-language name. Args: query: e.g. "Man City vs Arsenal" or a single team name. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. Returns the best-matching event (with id, teams...

Risk signalsAccepts freeform code/query input (query)

Part of the Infersports server.

find_match 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 find_match to retrieve information from Infersports 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 find_match 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": {
    "find_match": {}
  }
}

See the full Infersports policy for all 14 tools.

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so find_match 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 find_match tool do? +

Find a football/basketball fixture by natural-language name. Args: query: e.g. "Man City vs Arsenal" or a single team name. sport: optional filter — "football" or "basketball". date: optional UTC date "YYYY-MM-DD" to disambiguate same-name fixtures. Returns the best-matching event (with id, teams, league, kickoff, live score, the live match clock e.g. "2h 47" or "ht", and a confidence score) plus alternatives. Use the returned event_id with get_match_odds / compare_lines. A decision block tells you whether it's safe_to_proceed and the suggested next_action (or ask_user when ambiguous).. It is categorised as a Read tool in the Infersports MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on find_match? +

Register the Infersports MCP server in PolicyLayer and add a rule for find_match: 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 Infersports. Nothing to install.

What risk level is find_match? +

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

Can I rate-limit find_match? +

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

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

find_match is provided by the Infersports MCP server (https://api.infersports.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Infersports tool call.

Deterministic rules across all 14 Infersports tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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