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tresor4k

macalc

calculate_hyperfocal_distance

Calculate hyperfocal distance and sharp limits for a lens and aperture to optimize depth of field in photography.

Instructions

Calculate hyperfocal distance and near/far sharp limits for a lens and aperture. See list_bundles for related 'photographie' calculators.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focal_length_mmYesLens focal length in millimeters
apertureYesAperture f-number
coc_mmNoCircle of confusion in mm (default 0.03 for full frame)

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 are provided, so the description carries the full burden. It states the calculation but omits behavioral details like assumptions (e.g., thin lens formula), accuracy limits, or side effects.

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: first states purpose concisely, second points to related tools. No redundant information.

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?

Given the simplicity of the calculator and the presence of an output schema, the description is fairly complete. It identifies the output (hyperfocal distance and sharp limits) and the reference to list_bundles provides context among many sibling tools.

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?

Input schema has 100% description coverage for all three parameters, so the schema already provides meaning. The description adds no extra parameter information beyond what is in the 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?

The description uses a specific verb ('calculate') and resource ('hyperfocal distance and near/far sharp limits') 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 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 alternatives, such as the related calculate_depth_of_field tool. Only a reference to list_bundles for related calculators, but no conditions 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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