approval_request
Create an explicit approval request (risk-gated action) the human must approve in the dashboard or CLI.
This record as markdown: /tools/yuga-hashimoto-localant/approval-request.md
What approval_request does on LocalAnt
AI agents call approval_request as a supporting operation in LocalAnt workflows.
Why approval_request is rated Low
This tool does not itself read, write, execute, destroy, or move money. It creates a human-in-the-loop approval gate — its sole effect is to surface a request for human review before any downstream action occurs. The tool's output is a pending approval notification, not a side-effecting operation. Severity is low because misuse merely creates spurious approval prompts.
From the tool's definition Create an explicit approval request (risk-gated action) the human must approve in the dashboard or CLI
Attacks that exploit this kind of access
The rule that runs approval_request safely
PolicyLayer is an MCP gateway: it sits between your AI agents and LocalAnt, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For approval_request, this is the rule to start with:
approval_request gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect LocalAnt, apply this rule, and every approval_request call is checked against it from then on.
Questions about approval_request
Create an explicit approval request (risk-gated action) the human must approve in the dashboard or CLI. It is categorised as a Other tool in the LocalAnt MCP Server, which means it performs auxiliary operations.
Register the LocalAnt MCP server in PolicyLayer and add a rule for approval_request: 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 LocalAnt. Nothing to install.
approval_request 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 approval_request 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 approval_request. 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.
approval_request is provided by the LocalAnt MCP server (yuga-hashimoto/localant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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