Get daily calorie/macro totals for an entire month. Useful for tracking adherence and trends. Args: - month: Month (1-12) - year: Year (e.g., 2026) Returns: Daily totals for each logged day in the month.
AI agents call fatsecret_get_food_entries_month to retrieve information from Fatsecret without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries historical nutritional data for a specified month and year, returning aggregated daily summaries. It performs no mutations, executions, or destructive operations. It is purely informational, reading data the user has already logged.
From the tool's definition Tool description explicitly states 'Get daily calorie/macro totals' and returns 'Daily totals for each logged day in the month'. The verb 'Get' and lack of any modification, deletion, or execution language indicate this is a retrieval operation.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
Get daily calorie/macro totals for an entire month. Useful for tracking adherence and trends. Args: - month: Month (1-12) - year: Year (e.g., 2026) Returns: Daily totals for each logged day in the month. It is categorised as a Read tool in the Fatsecret MCP Server, which means it retrieves data without modifying state.
Register the Fatsecret MCP server in PolicyLayer and add a rule for fatsecret_get_food_entries_month: 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 Fatsecret. Nothing to install.
fatsecret_get_food_entries_month 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 fatsecret_get_food_entries_month 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 fatsecret_get_food_entries_month. 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.
fatsecret_get_food_entries_month is provided by the Fatsecret MCP server (yurzs/fatsecret-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →