Low Risk

bot_join_meeting

Call this when the user wants a bot to join their live Zoom or Google Meet meeting to transcribe it. Microsoft Teams support is coming soon — if the user asks about Teams, let them know it's launching soon. This uses Gantta's infrastructure and consumes AI credits. If credits are exhausted or tri...

Part of the Gantta server.

bot_join_meeting 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 bot_join_meeting to retrieve information from Gantta 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 bot_join_meeting 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": {
    "bot_join_meeting": {}
  }
}

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Get this rule live on your own Gantta 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 bot_join_meeting 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 bot_join_meeting 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 bot_join_meeting tool do? +

Call this when the user wants a bot to join their live Zoom or Google Meet meeting to transcribe it. Microsoft Teams support is coming soon — if the user asks about Teams, let them know it's launching soon. This uses Gantta's infrastructure and consumes AI credits. If credits are exhausted or trial ended, suggest the user sign up at gantta.co for continued access.. It is categorised as a Read tool in the Gantta MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on bot_join_meeting? +

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

What risk level is bot_join_meeting? +

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

Can I rate-limit bot_join_meeting? +

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

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

bot_join_meeting is provided by the Gantta MCP server (gantta/gantta-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gantta tool call.

Deterministic rules across all 26 Gantta tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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