AI agents call complete_action as a supporting operation in Pypi:asqav workflows.
With no description available, classification relies solely on the tool name. 'complete_action' could mean completing/finalizing a pending action (e.g., a multi-party authorization gate), which in context of this governance/authorization server could be a Write or Execute operation.
From the tool's definition Tool name is 'complete_action' and description is empty/uninformative.
Documented attack patterns abuse exactly the kind of access complete_action gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pypi:asqav, and nothing reaches the server without passing your rules. This is the rule we recommend for complete_action:
{
"version": "1",
"default": "deny",
"tools": {
"complete_action": {
"limits": [
{
"counter": "complete_action_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} complete_action gets a rate cap, and everything else on the server is denied unless you say otherwise.
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complete_action. It is categorised as a Other tool in the Pypi:asqav MCP Server, which means it performs auxiliary operations.
Register the Pypi:asqav MCP server in PolicyLayer and add a rule for complete_action: 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 Pypi:asqav. Nothing to install.
complete_action 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 complete_action 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 complete_action. 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.
complete_action is provided by the Pypi:asqav MCP server (jagmarques/asqav-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Pypi:asqav, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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15 Pypi:asqav tools catalogued and risk-classified — across an index of 43,000+ MCP servers.