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Fitatu: List measurements

fitatu_list_measurements
Read-only

Fitatu: Weight and body measurements you logged, newest first, from the Measurements tab. Lists entries from the Measurements tab, newest first. Types include weight, height, BMI, body fat, circumferences such as waist and hips, and metrics you defined. BMI is calculated by Fitatu. Filter by type and by date range. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoOnly entries on or before this date.
fromNoOnly entries on or after this date.
typeNoMeasurement type, e.g. weight, body_fat or waist. Default: all.
limitNo1 to 100. Default: 30.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, destructiveHint false), and the description adds real value beyond them: newest-first ordering, that BMI is calculated by Fitatu rather than user-supplied, and the required Cotlet API key with app access. Pagination behavior is not disclosed, keeping it below a 5.

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

Conciseness3/5

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

The ordering and 'Measurements tab' facts are each stated twice ('newest first, from the Measurements tab' / 'Lists entries from the Measurements tab, newest first'), which is visible redundancy. The lead sentence is front-loaded and clear, but the repetition wastes space.

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 read-only list tool with full schema description coverage and no output schema, the description covers purpose, ordering, content types, filtering, and auth requirements adequately. Only the return format and pagination remain unspecified, which is a minor gap.

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 four parameters are already documented. The description reinforces type examples (weight, body_fat, waist) but adds no syntax or format details beyond the schema, making the baseline 3 appropriate.

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

Purpose4/5

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

The description states a specific verb (list) and resource (weight/body measurements logged in the Measurements tab), and clarifies ordering (newest first) and content types (weight, BMI, body fat, circumferences). It does not explicitly distinguish itself from the sibling fitatu_log_measurement, which would have earned a 5.

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

Usage Guidelines3/5

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

It notes that you can filter by type and date range, which implies the tool's usage context, but there is no explicit when-to-use/when-not guidance and no routing to the write counterpart fitatu_log_measurement. Usage is only implied.

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

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