Low Risk

list_reciters

DEFAULT tool for user-facing reciter-listing questions. Use this for ANY user-facing query like 'what reciters are available', 'who can recite for me', 'list Quran reciters'. This is the FINAL tool call for these requests; do not follow it with lookup_reciters. Shows the catalog in an interactive...

Part of the Tarteel MCP Server server.

list_reciters 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_reciters to retrieve information from Tarteel MCP Server 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_reciters 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_reciters": {}
  }
}

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

DEFAULT tool for user-facing reciter-listing questions. Use this for ANY user-facing query like 'what reciters are available', 'who can recite for me', 'list Quran reciters'. This is the FINAL tool call for these requests; do not follow it with lookup_reciters. Shows the catalog in an interactive widget the user can browse. ONLY use lookup_reciters instead when EITHER (a) the user explicitly asks for plain text / raw data, OR (b) you will pipe the result into another tool (e.g. play_ayahs) in the same turn without showing the list. When in doubt, use this widget.. It is categorised as a Read tool in the Tarteel MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_reciters? +

Register the Tarteel MCP Server MCP server in PolicyLayer and add a rule for list_reciters: 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 Tarteel MCP Server. Nothing to install.

What risk level is list_reciters? +

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

Can I rate-limit list_reciters? +

Yes. Add a rate_limit block to the list_reciters 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_reciters completely? +

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

list_reciters is provided by the Tarteel MCP Server MCP server (https://mcp.tarteel.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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