AI agents call add as a supporting operation in Python Demo MCP Server workflows.
This tool performs a simple arithmetic addition of two numbers. It has no side effects, does not read or write data, does not execute code or commands, and has no financial implications. It is a pure computation utility, making 'Other' the correct classification.
From the tool's definition Tool name is 'add' and description states 'Add two numbers' — purely arithmetic computation with no data retrieval, modification, execution, or financial implications.
Documented attack patterns abuse exactly the kind of access add gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Python Demo MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for add:
{
"version": "1",
"default": "deny",
"tools": {
"add": {
"limits": [
{
"counter": "add_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
}add gets a rate cap, and everything else on the server is denied unless you say otherwise.
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Add two numbers. It is categorised as a Other tool in the Python Demo MCP Server MCP Server, which means it performs auxiliary operations.
Register the Python Demo MCP Server MCP server in PolicyLayer and add a rule for add: 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 Python Demo MCP Server. Nothing to install.
add is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the add 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 add. 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.
add is provided by the Python Demo MCP Server MCP server (sevalla-templates/python-demo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Python Demo 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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3 Python Demo MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.