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Human Design MCP Server by RoxyAPI

Look up a Human Design gate by number

get_human_design_gates_number
Read-only

Look up the static reference data for a Human Design gate by its number from 1 to 64: the gate keynote name, the center it sits in, the matching I-Ching hexagram, and the gates that form a channel with it. A pure reference endpoint with no birth data required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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
numberYesGate number from 1 to 64.
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.

TDQS

A4.3/5.0
Behavior4/5

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

readOnlyHint and destructiveHint already cover the safe read nature. The description adds behavioral context by emphasizing 'static reference data', 'no birth data required,' and listing exactly which data fields the call returns. This adds practical meaning beyond the annotations, though still not a comprehensive account of output-shape.

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, tightly packed: the first states the core action and returned fields; the second clarifies scope and prerequisites. No filler, no waste.

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?

For a simple read-only, 1-param endpoint, this is complete: it states what to pass, what to get back, and the explicit applicable scope. The lang/compact params are already fully documented by schema, and the description enumerates the returned fields directly.

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 description coverage is 100%; the input schema already documents number, lang, and compact in enough detail. The description repeats the number range ('1 to 64`) and doesn't add semantic guidance for lang or compact, so the description does beyond a already at the baseline—it doesn't add meaning beyond 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 states the exact verb-resource pair: 'Look up the static reference data for a Human Design gate by its number from 1 to 64' and then names the returned fields—keynote, center, hexagram, channal gates. This clearly distinguishes it from the siblings like post_human_design_gates and other birth-data-requiring endpoints.

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 purpose is clearly delimitated: 'pure reference endpoint with no birth data required.' This conveys when to use it (static gate reference) versus chartPerson/calculation endpoints, but it doesn't name those alternatives explicitly. It provides clear context with no exclusion, otherwise scoring lower than 5.

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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