Send a formatted todo message to Google Chat space
Part of the Google Chat Integration Server server.
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AI agents use send_todo to create or modify resources in Google Chat Integration Server. 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 send_todo 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 Google Chat Integration Server.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"send_todo": {
"limits": [
{
"counter": "send_todo_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Google Chat Integration Server policy for all 3 tools.
These attack patterns abuse exactly the kind of access send_todo gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Send a formatted todo message to Google Chat space. It is categorised as a Write tool in the Google Chat Integration Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Chat Integration Server MCP server in PolicyLayer and add a rule for send_todo: 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 Google Chat Integration Server. Nothing to install.
send_todo is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the send_todo 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.
Set action: deny in the PolicyLayer policy for send_todo. 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.
send_todo is provided by the Google Chat Integration Server MCP server (rishipradeep-think41/gchat-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 3 Google Chat Integration Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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