Skip to main content
Glama
tresor4k

macalc

convert_cooking

Convert cooking measurements between cups, tablespoons, teaspoons, milliliters, and more. Scale and translate recipes accurately.

Instructions

Convert cooking measurements between ml, L, g, kg, cup, tbsp, tsp, fl_oz, oz. Use for recipe scaling and translating. Inputs: value, from, to. Returns: {input}. See list_bundles for related 'conversions' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYesQuantity
fromYesSource unit
toYesTarget unit

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 description must disclose behavior. It only says 'Convert' and returns '{input}', which is vague. No mention of precision, error handling, or unit compatibility (e.g., volume vs weight).

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?

Two sentences, front-loaded with purpose. The inclusion of 'Returns: {input}' is slightly cryptic but does not significantly detract from conciseness.

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

Completeness2/5

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

Having an output schema, the description should still explain what the tool returns and any limitations. The mismatch between listed units and schema units reduces completeness. No mention of error cases or conversion constraints.

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 baseline 3. Description lists parameter names (value, from, to) but adds no additional meaning beyond the schema's descriptions and enums.

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 the tool converts cooking measurements and lists specific units like ml, cup, tbsp. However, it lists units (g, kg, oz) that are not present in the input schema, causing slight confusion.

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?

Provides context for recipe scaling and mentions list_bundles for related calculators, but lacks when-not-to-use or explicit differentiation from many sibling conversion tools.

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