Record grocery spending for budget tracking. USE WHEN: logging what was spent after a shopping trip. Returns confirmation with amount, store, date, and item count.
AI agents use log_spend to create or update resources in TilbudsTrolden — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your TilbudsTrolden environment.
This tool creates a new spending record in a log/ledger. It is a write operation (creating data) but does not move real money or commit financial obligations — it merely records what was already spent. No irreversible deletion is involved. Severity is low because misuse would at worst create inaccurate budget records, which are easily correctable.
From the tool's definition Record grocery spending for budget tracking... logging what was spent after a shopping trip. Returns confirmation with amount, store, date, and item count.
Documented attack patterns abuse exactly the kind of access log_spend gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and TilbudsTrolden, and nothing reaches the server without passing your rules. This is the rule we recommend for log_spend:
{
"version": "1",
"default": "deny",
"tools": {
"log_spend": {
"limits": [
{
"counter": "log_spend_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}log_spend 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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Record grocery spending for budget tracking. USE WHEN: logging what was spent after a shopping trip. Returns confirmation with amount, store, date, and item count. It is categorised as a Write tool in the TilbudsTrolden MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the TilbudsTrolden MCP server in PolicyLayer and add a rule for log_spend: 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 TilbudsTrolden. Nothing to install.
log_spend 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 log_spend 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 log_spend. 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.
log_spend is provided by the TilbudsTrolden MCP server (olgasafonova/tilbudstrolden-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from TilbudsTrolden, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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18 TilbudsTrolden tools catalogued and risk-classified — across an index of 43,000+ MCP servers.