Skip to main content
Glama
tresor4k

macalc

calculate_caffeine_intake

Calculate your total caffeine intake from coffee, tea, soda, and energy drinks. Compares consumption against the safe adult daily limit of 400 mg and shows distribution by time of day.

Instructions

Track caffeine intake against the safe daily limit (400 mg adult). Use for monitoring coffee/tea/soda consumption. Inputs: list of drinks (type, quantity). Returns total mg, % of limit, time-of-day distribution. See list_bundles for related 'cuisine' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drinksYes

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.
Behavior4/5

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

No annotations provided, so description carries full burden. Clearly states inputs and outputs (total mg, % limit, distribution), implying a read-only calculation tool. No contradictions.

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?

Three concise sentences covering purpose, usage, inputs, outputs, and related tools. No wasted words, front-loaded with key information.

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

Completeness5/5

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

Given many sibling calculators, description fully covers purpose, inputs, outputs, and links to relevant bundles. Output schema would fill remaining detail.

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 0%, but description adds that input is 'list of drinks (type, quantity)' and lists return items. However, it doesn't enumerate drink types or specify quantity constraints beyond schema.

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?

Clear verb 'Track' and resource 'caffeine intake', specifies safe limit, inputs, outputs, and distinguishes from siblings by referencing list_bundles for related calculators.

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?

Explicitly states monitoring coffee/tea/soda consumption and safe daily limit. Provides pointer to list_bundles for related tools but lacks explicit exclusion of when not to use.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tresor4k/macalc-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server