Low Risk

ayah_mutashabihat

Show repeated phrase metadata for one ayah with an interactive display. Use this when: the user asks which phrases in a specific ayah repeat elsewhere; the user needs phrase IDs and counts before calling phrase_mutashabihat.

Part of the Tarteel MCP Server server.

ayah_mutashabihat 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 ayah_mutashabihat 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 ayah_mutashabihat 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": {
    "ayah_mutashabihat": {}
  }
}

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

Show repeated phrase metadata for one ayah with an interactive display. Use this when: the user asks which phrases in a specific ayah repeat elsewhere; the user needs phrase IDs and counts before calling phrase_mutashabihat.. 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 ayah_mutashabihat? +

Register the Tarteel MCP Server MCP server in PolicyLayer and add a rule for ayah_mutashabihat: 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 ayah_mutashabihat? +

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

Can I rate-limit ayah_mutashabihat? +

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

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

ayah_mutashabihat 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.

Enforce policy on every Tarteel MCP Server tool call.

Deterministic rules across all 16 Tarteel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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