Low Risk

compare_lines

Compare one market across all bookmakers for a match. Returns each book's quote line-by-line, the consensus line, the best price per outcome, each book's overround, and de-vigged fair odds from the sharpest (lowest-margin) book. Args: event_id: event id (e.g. "evt_…"). market_type: "1x2", "asian_...

Part of the Infersports server.

compare_lines 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 compare_lines 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 compare_lines 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": {
    "compare_lines": {}
  }
}

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These attack patterns abuse exactly the kind of access compare_lines 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 compare_lines 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 compare_lines tool do? +

Compare one market across all bookmakers for a match. Returns each book's quote line-by-line, the consensus line, the best price per outcome, each book's overround, and de-vigged fair odds from the sharpest (lowest-margin) book. Args: event_id: event id (e.g. "evt_…"). market_type: "1x2", "asian_handicap" (default) or "totals". period: "full_time" (default) or "half_time". format: display odds format (analytics are computed in decimal regardless). verbosity: "full" (default) or "terse". "terse" drops the per-book books array (the bulk of the payload) and returns only the worked answer (best_prices / consensus_line / fair_odds / summary).. 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 compare_lines? +

Register the Infersports MCP server in PolicyLayer and add a rule for compare_lines: 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 compare_lines? +

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

Can I rate-limit compare_lines? +

Yes. Add a rate_limit block to the compare_lines 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_lines completely? +

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

compare_lines 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.

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