Low Risk

list_bookmakers

List the bookmakers available on your tier. Returns the curated catalogue (each with key, name and class = "sharp" | "asian") plus a note on tier coverage. Free tier excludes the sharp book (Pinnacle). Use the returned key values in the bookmakers filter of get_match_odds / compare_lines.

Part of the Infersports server.

list_bookmakers 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 list_bookmakers 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 list_bookmakers 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": {
    "list_bookmakers": {}
  }
}

See the full Infersports policy for all 14 tools.

Get this rule live on your own Infersports 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 list_bookmakers 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 list_bookmakers 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 list_bookmakers tool do? +

List the bookmakers available on your tier. Returns the curated catalogue (each with key, name and class = "sharp" | "asian") plus a note on tier coverage. Free tier excludes the sharp book (Pinnacle). Use the returned key values in the bookmakers filter of get_match_odds / compare_lines.. 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 list_bookmakers? +

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

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

Can I rate-limit list_bookmakers? +

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

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

list_bookmakers 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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