AI agents use create_todo to create or update resources in Basecamp MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Basecamp MCP Server environment.
This tool creates new data in Basecamp (a todo item) but the action is reversible—todos can be modified or removed later. It does not execute arbitrary code, move money, or permanently destroy data. It falls squarely into the Write category. Medium severity reflects that creating tasks affects team workflows and project state, but the impact is localized and reversible.
From the tool's definition Tool name 'create_todo' and description 'Create a new todo item' indicate data creation that is reversible (todos can be edited or deleted).
Documented attack patterns abuse exactly the kind of access create_todo gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Basecamp MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_todo:
{
"version": "1",
"default": "deny",
"tools": {
"create_todo": {
"limits": [
{
"counter": "create_todo_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_todo stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a new todo item. It is categorised as a Write tool in the Basecamp MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Basecamp MCP Server MCP server in PolicyLayer and add a rule for create_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 Basecamp MCP Server. Nothing to install.
create_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 create_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 create_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.
create_todo is provided by the Basecamp MCP Server MCP server (qusaiisaleem/basecamp-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Basecamp MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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56 Basecamp MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.