Medium Risk

text_to_speech

Convert text to natural-sounding speech. Returns audio URL. ($0.001/request)

Part of the Iteratools server.

text_to_speech can modify Iteratools data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use text_to_speech to create or modify resources in Iteratools. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call text_to_speech repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Iteratools.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "text_to_speech": {
      "limits": [
        {
          "counter": "text_to_speech_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Iteratools policy for all 13 tools.

Get this rule live on your own Iteratools server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 13 tools →

These attack patterns abuse exactly the kind of access text_to_speech 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 text_to_speech only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the text_to_speech tool do? +

Convert text to natural-sounding speech. Returns audio URL. ($0.001/request). It is categorised as a Write tool in the Iteratools MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on text_to_speech? +

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

What risk level is text_to_speech? +

text_to_speech is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit text_to_speech? +

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

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

text_to_speech is provided by the Iteratools MCP server (iterasoft/iteratools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Iteratools tool call.

Deterministic rules across all 13 Iteratools tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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