Skip to main content
Glama

Fitatu: Log quick entry

fitatu_log_quick_entry

Fitatu: Add calories and macros to a meal without picking a product, like Quick add in the app. Enters nutrition values straight into a meal, the way Quick add does: useful for diet catering or values copied from a label. The entry is not saved to your Own list. It reaches no one and is undone with one call, delete_diary_item, so it runs without asking first. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDay to log on, YYYY-MM-DD. Default: today.
kcalYesCalories of the entry.
mealYesMeal name from your Fitatu meal scheme. By default: breakfast, second breakfast, lunch, dinner, snack or supper.
fat_gNoFat in grams.
carbs_gNoCarbohydrates in grams.
protein_gNoProtein in grams.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Goes well beyond the annotations (readOnlyHint=false, destructiveHint=false): states the entry is not saved to the Own list, is undone with one call to delete_diary_item, and runs without asking first, and notes the Cotlet API key requirement. This is rich, non-obvious behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose, and the safety/reversibility facts are stated efficiently. Minor redundancy in restating 'like Quick add in the app' / 'the way Quick add does' twice, which slightly dilutes it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a six-parameter mutation with no output schema, it covers auth, persistence, reversibility, and non-interactivity. It does not describe what the call returns (e.g., an entry identifier needed for later undo), which would be useful for chaining with delete_diary_item.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so all six parameters are already documented in the schema. The description adds no format or default detail beyond what the schema provides (e.g., date default, meal names), so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb+resource (add calories/macros to a meal) plus a clear differentiator: 'without picking a product.' This separates it from fitatu_log_food, which requires a product, without the agent needing to open either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete usage conditions ('diet catering or values copied from a label') and ties reversibility to the delete_diary_item sibling. It does not explicitly name fitatu_log_food as the alternative to avoid, so the when-not is only implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources