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get_hydration_history

Retrieve fluid intake history for the last N days, up to an optional end date, to track hydration patterns and support daily wellness monitoring.

Instructions

Fluid intake history for the last N days (period=days, up to end, YYYY-MM-DD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNo
daysNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral transparency burden. It explains that the range is expressed in days and the upper bound is an end date in YYYY-MM-DD, but it does not disclose what a null end means, whether the end date is inclusive, or the fluid units returned. These are moderate gaps for a read-only history endpoint.

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

Conciseness5/5

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

The description is a single compact sentence with no filler. Each clause carries information: the resource, the period unit, the endpoint, and the date format. It is concise without sacrificing key semantics.

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 simple, low-complexity read tool with an output schema and only two optional parameters, the description is largely complete: the agent knows what data is returned and how to bound the query. It is not fully complete because the null/default behavior of end is left implied, but this is a minor gap.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must add meaning. It does add semantics for both parameters: 'period=days' defines the days parameter as a length in days, and 'end, YYYY-MM-DD' defines the end parameter as a date-formatted upper bound. It omits default/null behavior, but the core meaning of each parameter is present.

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 clearly identifies the resource as fluid intake history and specifies the time window (last N days), which is enough to distinguish it from the sibling get_daily_hydration. It lacks an explicit 'returns' verb, but the phrase 'Fluid intake history for...' makes the purpose evident.

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?

The phrase 'history for the last N days' implies this tool is for multi-day historical queries, but it never names the alternative or states when to prefer get_daily_hydration or another sibling. There is implied context but no explicit exclusion or routing guidance.

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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