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tresor4k

macalc

calculate_altitude_sickness

Assess altitude sickness risk for your target elevation. Receive risk level, acclimatization days, symptoms to watch, and safety recommendations.

Instructions

Assess altitude sickness risk and recommend acclimatization schedule. Returns: {risk_level, risk_color, recommended_acclimatization_days, symptoms_to_watch, recommendations}. See list_bundles for related 'voyage' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
altitude_mYesTarget altitude in meters

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.
Behavior3/5

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

With no annotations provided, the description partially compensates by listing the return object structure, but fails to disclose behavioral traits such as underlying model assumptions, limitations, or required permissions. The description is adequate for a simple calculator but not fully transparent.

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 concise, with two sentences that front-load the purpose and return structure, followed by a sibling reference. Every sentence adds value and the structure is clear and efficient.

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 the tool has only one parameter, an output schema (implied), and no nested objects, the description is complete. It covers the return fields sufficiently, and the output schema handles return value details.

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?

The input schema already describes the parameter 'altitude_m' as 'Target altitude in meters' with constraints. The description adds no new semantic information beyond what the schema provides, and schema coverage is 100%, so the baseline score of 3 applies.

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 assesses altitude sickness risk and recommends an acclimatization schedule, with a specific verb and resource. It also distinguishes itself by referencing related 'voyage' calculators via list_bundles, standing out among many sibling calculate tools.

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?

The description lacks explicit guidance on when to use this tool versus alternatives. It only mentions list_bundles for related calculators, but does not specify situations where this tool is preferred or excluded, nor prerequisites or context for use.

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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