Get the remaining spending limit for an access key on a specific token.
AI agents call get_remaining_limit to retrieve information from Tempo without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and returns the current spending limit balance for an access key. It has no side effects, does not execute code or commands, does not create or modify data, and does not move funds or delete resources. Despite being part of a payment/financial system, the tool itself is purely informational and falls squarely into the Read category.
From the tool's definition Tool name and description indicate a query operation: 'Get the remaining spending limit' — retrieves current state without modifying data or triggering external payments.
Documented attack patterns abuse exactly the kind of access get_remaining_limit gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Tempo, and nothing reaches the server without passing your rules. This is the rule we recommend for get_remaining_limit:
{
"version": "1",
"default": "deny",
"tools": {
"get_remaining_limit": {}
}
}get_remaining_limit is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the remaining spending limit for an access key on a specific token. It is categorised as a Read tool in the Tempo MCP Server, which means it retrieves data without modifying state.
Register the Tempo MCP server in PolicyLayer and add a rule for get_remaining_limit: 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 Tempo. Nothing to install.
get_remaining_limit is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_remaining_limit 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 get_remaining_limit. 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.
get_remaining_limit is provided by the Tempo MCP server (arome3/tempo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Tempo, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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61 Tempo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.