Skip to main content
Glama
tresor4k

macalc

calculate_luggage_weight

Calculate total luggage weight and compare with airline limits for carry-on, economy checked, and business checked bags. Input item weights in kg to see if your baggage meets the allowance.

Instructions

Calculate total luggage weight and compare to airline limits (carry-on, economy checked, business checked). Returns: {total_kg, status}. See list_bundles for related 'voyage' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesArray of luggage items with name and weight in kg

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 disclose all behavioral traits. It mentions the return format but does not discuss safety, permissions, side effects, or constraints. For a tool that likely performs a calculation without side effects, more transparency on return structure and edge cases is needed.

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 two sentences long, front-loaded with the main action, and no unnecessary words. Every sentence serves a purpose.

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

Completeness3/5

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

Given that there is an output schema (true), the description adequately covers the return format but does not explain the 'status' field or define the airline limits. It is minimally sufficient but could provide more detail on what the comparison yields.

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 coverage is 100% with clear parameter descriptions. The description adds value by explaining that the tool compares weights to airline limits and returns {total_kg, status}, which is not evident from the schema alone.

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?

The description clearly states the tool's function: 'Calculate total luggage weight and compare to airline limits (carry-on, economy checked, business checked)'. It includes specific resource and action, and distinguishes from siblings by referencing list_bundles for voyage 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?

The description gives context on when to use the tool and directs to list_bundles for related calculators. However, it lacks explicit guidance on when not to use it or what distinguishes it from other weight-related 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