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Human Design MCP Server by RoxyAPI

Calculate Human Design Variables - The four arrows and Color, Tone, Base substructure

post_human_design_variables
Read-only

Calculate the four Human Design Variable arrows for a birth moment: Determination and Environment on the design side, Perspective and Motivation on the personality side. Each arrow returns its Color, Tone, and Base numbers from the hexagram-line substructure, the left or right direction set by the Tone, and the sourced Color and direction labels. This is the advanced Rave Variables and Primary Health System layer beneath Type, Strategy, Authority, and Profile. Color, Tone, and Base shift with tiny differences in birth time, so each arrow carries a confidence flag that turns false near a Color or Tone boundary, and a precise birth time is essential. Built for Human Design apps offering PHS, diet, environment, and Rave Psychology readings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesBirth date in YYYY-MM-DD format. The anchor for both the Personality activations at birth and the Design activations 88 degrees of solar arc earlier.
langNoResponse language (BCP 47). Supported: en, tr, de, es, hi, pt, fr, ru, zh-Hans, zh-Hant. Defaults to en. Coverage varies by domain, and a field with no translation in the requested language returns English.en
timeYesBirth time in 24-hour HH:MM:SS format. Precision matters: the profile lines and gate boundaries shift with the exact minute of birth.
compactNoSet true for the same data in a compact shape: arrays of same-shaped objects arrive columnar as {"__cols":[names],"__rows":[[values]]}. Lossless, typically 40 to 52 percent fewer tokens.
latitudeNoBirth latitude in decimal degrees. Optional and does not affect the bodygraph, which depends only on ecliptic longitudes. Defaults to 0.
nodeTypeNoLunar node convention. "mean" is the smoothed average node, which always moves retrograde; "true" is the osculating node, which tracks the real perturbed node, oscillates up to about 1.5 degrees either side of the mean on a 173-day cycle, and can briefly turn direct. Neither is more correct and they almost always fall in the same sign. Applies to the North and South Node activations. True is what professional Human Design software uses (HumanDesign.ai, Total Human Design) and is the value RoxyAPI verifies against, so leave it unset for a standard chart. It matters only when a node sits on a gate boundary, where the choice moves a node gate. Because a gate can be half of a channel, that can change the completed channels and, with them, whether a center reads defined or open, plus the definition, authority, profile or type. A chart where only one center disagrees is the usual shape, since the type and profile often survive unchanged. If another calculator disagrees on any of those, it is almost certainly using the mean node: pass "mean" to match it. Defaults to "true".true
timezoneYesIANA name (e.g. "America/New_York", "Europe/London", "UTC"), decimal hours (e.g. -5 for EST, 1 for CET), or a fixed UTC offset (e.g. "-05:00", "+01:00"). Prefer the IANA name: it is resolved to the DST-correct offset for the birth date, while a fixed offset or decimal is taken literally and will be wrong if it does not match the daylight-saving state on that date. Invalid timezones return 400 with a validation error.
longitudeNoBirth longitude in decimal degrees. Optional and does not affect the bodygraph. Defaults to 0.

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already mark it as read-only and safe. The description goes further by disclosing that Color, Tone, and Base are sensitive to tiny birth-time differences, that each arrow carries a confidence flag which turns false near boundaries, and that the output includes direction and sourced labels. This enriches the annotation enough for an agent to trust the invocation and interpret the response correctly.

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?

The description is five sentences and mostly uses all its words well. The first sentence repeats the title somewhat, and the final 'Built for...' sentence is useful for context but could be trimmed without loss. Overall it is dense but not padded.

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 title, the schema, and the full description, an agent can invoke the tool and interpret high-level behavior. It follows that the response lacks a schema, and the description explains the return concepts but not the exact JSON shape or ordering. That keeps it from being fully complete, but it is still highly usable for deciding when and how to call it.

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?

The schema provides 100% parameter coverage, so the baseline is 3. The description adds value by tying the time parameter to the confidence flag and boundary behavior: precise birth time is essential because Color.Tone and Base shift. That makes the effect of birth-time more meaningful than 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 states a specific verb and resource: 'Calculate the four Human Design Variable arrows for a birth moment' and names all four arrows by side and meaning. It also distinguishes itself from standard chart tools by placing itself under the layers of Type, Strategy, Authority, and Profile.

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?

It clearly says when to use the tool: when a Human Design app needs the Variables layer, PHS, diet, environment, or Rave Psychology readings. It gives strong contextual guidance, though it does not explicitly say which sibling to use instead for simpler bodygraph or type calculations.

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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TDQS

A3.9/5.0
Disambiguation3/5

The static reference tools are clearly distinct, and connection, transit, and penta handle unique types of analysis. However, the full bodygraph endpoint already returns type, profile, centers, gates, and channels, so the component-specific calculation endpoints create moderate selection ambiguity.

Naming Consistency4/5

The tools follow a clear post_human_design_ / get_human_design_ pattern, with get_ reserved for reference lookups and post_ used for calculations. The pattern is slightly inconsistent because the two reference tools add _id and _number suffixes, while the calculation tools use plain plural resource names.

Tool Count4/5

Twelve tools is within a reasonable scope and covers the broad Human Design domain, including basic charts, transit, compatibility, and group analysis. The count is slightly higher than strictly necessary because several partial-looking endpoints duplicate the data already returned by the full bodygraph endpoint.

Completeness5/5

The server covers the full core chart generation flow, reference data for centers and gates, profile, type, variables, transit overlays, connection charts, and group connections. There are no obvious dead ends for Human Design apps and a reading or coaching workload seems well supported.

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