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tresor4k

macalc

calculate_caffeine_half_life

Calculate remaining caffeine in your body based on amount consumed and time elapsed. Find when caffeine levels drop below 25 mg and whether it's safe to sleep.

Instructions

Calculate remaining caffeine in body after time elapsed. Returns: {hours_to_below_25mg, safe_to_sleep}. See list_bundles for related 'sante' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mg_consumedYesCaffeine consumed mg
hours_sinceYesHours since consumption

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoComputed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools).
formulaNoHuman-readable formula or method used (e.g. "I=P·r·t", "Magnus formula").
sourceNoAuthoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21").
reference_urlNoLink to a calcul2 page documenting the calculation in detail.
Behavior2/5

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

No annotations provided, so the description must carry the full burden. It mentions return fields but does not disclose whether it is read-only, idempotent, or requires any state. As a calculation, behavior is somewhat implied, but explicit transparency is lacking.

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?

Two sentences with no fluff. The first sentence states the action, the second provides return format and a pointer to related tools. Front-loaded and every sentence earns its place.

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 calculation tool, the description includes return fields and notes related tools. The input schema covers parameters. However, it does not mention the half-life assumption (e.g., 5 hours) which could be important for accuracy, but overall the context is adequate.

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 description coverage is 100%, baseline applied. The description adds no additional meaning to the parameters beyond what the schema already provides, so it does not improve parameter understanding.

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 states it calculates remaining caffeine after time, with a specific verb and resource. It distinguishes itself from siblings by being a caffeine half-life calculator, but could be more precise by mentioning the half-life concept.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus sibling calculators such as calculate_caffeine_clearance or calculate_caffeine_intake. The mention of 'list_bundles' hints at context but does not provide usage criteria or exclusions.

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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