Log meals and read calories and macros from any AI assistant. Pairs with the whatevr iPhone app.
Scored across 12 tools
Most tools target a clearly distinct action+resource (get_today vs get_day vs get_progress; update_log vs delete_log). The one soft spot is log_anything, which by design overlaps with log_exercise, log_water, and log_weight, but the descriptions explicitly state which path to take (structured vs estimated vs plain-text) so misselection risk is low.
All 12 tools follow a single snake_case verb_noun convention with a small, predictable verb vocabulary: get_*, log_*, update_*, delete_*. The verb also encodes read vs write intent, making the surface easy to scan.
12 tools is squarely in the sweet spot for a logging app: five read tools, four write/logging tools, and three settings/mutation tools. Each tool covers a distinct facet (day, progress, me, water, weight, exercise, food edit, goals, reminders) with no filler.
Log creation, day/progress reads, food edits, deletion, and goal/reminder settings are all covered. The notable gap is that update_log only edits FOOD entries — exercise, water, and weigh-in logs can only be deleted and re-logged, and there is no tool to edit the user's profile (only targets).
Delete ONE entry from the user's log: a food, exercise, weigh-in or water entry. Read get_today/get_day first — each item in recent carries its id and type; pass both. Deleting a weigh-in updates their current weight to the newest remaining one. This can't be undone, so confirm with the user first. Needs the user's "Delete entries" switch for this connection (whatevr app → Settings → Connections). The user is notified.
Inputs: type (required), log_id (required).
Everything logged on a specific day, INCLUDING each food item's name and nutrition (same shape as get_today). Use this to answer “what did I eat yesterday / on ”. Each recent item's id works with update_log to correct mistakes.
Inputs: date (required).
Who the user is: name/handle/email, health profile, calorie/macro targets, and derived metrics.
Inputs: no named parameters.
Daily calorie/macro/exercise TOTALS over time + the weight trend (no food item names — use get_day for what was actually eaten).
Inputs: days, anchor, tz_offset_min.
Today's complete picture: calorie/macro totals vs targets, water, streak, exercises, and the item-by-item food log (recent: every logged item's name, calories, macros, ingredients). Each recent item's id works with update_log to correct mistakes.
Inputs: tz_offset_min.
Log food, drinks, water, exercise, or a weigh-in from one natural-language sentence — the same parser as the app's voice logging. Examples: 'two eggs and toast', '30 minute run', '3 glasses of water', 'weighed 184 this morning'. Spoken dates like 'yesterday I had pizza' work. Describe the FOOD, not just numbers: stating explicit nutrition in the text ('burrito, 800 calories') pins those totals exactly but logs ONE pre-computed item with no ingredient breakdown — if you do that, follow up with update_log's ingredients array so the log keeps its per-item detail.
Inputs: text (required), logged_at, tz_offset_min.
Log structured exercise with a known calorie burn. For an ESTIMATED burn from plain text, use log_anything ('30 minute run').
Inputs: activity (required), calories_burned (required), duration_minutes (required), logged_at, +1 more.
Log water — glasses (8 fl oz each) or an exact amount_fl_oz. Defaults to 1 glass.
Inputs: glasses, logged_at, amount_fl_oz, tz_offset_min.
Log a weigh-in in pounds. The newest reading also becomes the user's current weight (drives their calorie targets).
Inputs: weight_lb (required), note, logged_at, tz_offset_min.
Change the user's goal and daily targets — the same settings as the app's Goals screen. Send ONLY the fields to change. Each target takes a number (a custom target) or "auto" (computed from their body, activity and goal). The server keeps calories and macros consistent (protein×4 + carbs×4 + fat×9 ≈ calories), so the targets it returns can differ slightly from what you sent — report the returned ones. Current weight is not here: log a weigh-in with log_weight. Needs the user's "Change goals & settings" switch for this connection (whatevr app → Settings → Connections); if it's off you'll get a message saying so — relay it. The user is notified of every change.
Inputs: goal, fat_target_g, activity_level, calorie_target, +8 more.
Correct an existing FOOD log: title, nutrition numbers, the ingredient list, meal, or time-of-day. Read get_today/get_day first — each item in recent (type "food") carries the id to pass here. Send ONLY the fields to change; values are absolute for the item as logged. Two modes, never mixed: send ingredients to REPLACE the whole list (include every ingredient you want kept — the log's totals recompute from it, so don't also send calories/macros), OR send top-level numbers to set totals directly — the existing ingredient breakdown then RESCALES proportionally so the parts always sum to the new totals (ingredient names/amounts don't change, so when the COMPOSITION changed — something added or removed — send ingredients instead). Note: ANY edit that changes a routine-created log's title or its calories — including an ingredients replacement, since totals recompute — also updates that saved routine. When logged_time changes, the log's meal may re-infer from the new hour unless you set meal explicitly. Requires a full-access token; edit one log at a time.
Inputs: log_id (required), meal, fat_g, title, +8 more.
Turn the user's daily reminders on or off: the evening 'nothing logged today' nudge and the streak reminder. Same as the app's Notifications screen. Needs the user's "Change goals & settings" switch for this connection. The user is notified of the change.
Inputs: log_reminder, tz_offset_min, streak_reminder.
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Add one secure layer between your agents and this server.
