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Biorhythm MCP Server by RoxyAPI

Get daily biorhythm - Seeded reading for daily check-in features

post_biorhythm_daily
Read-only

Get a daily biorhythm reading with seeded randomness for consistent "biorhythm of the day" features. Same seed and same date always produce the same reading, perfect for daily push notifications, morning briefings, and wellness app check-ins. Returns energy rating, overall phase, a spotlight on one featured cycle, quick-read values for all three primary cycles, a daily message, and actionable advice. The spotlight cycle is deterministically selected by the seed, creating variety across users while maintaining consistency for each individual.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate for the reading in YYYY-MM-DD format. Defaults to today (UTC). Useful for viewing past daily readings or pre-generating future ones.
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
seedNoOptional seed for reproducible readings. Same seed + same date = same reading every time. Pass any unique identifier (userId, email hash, session token). Omit for anonymous daily readings.
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.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
seedYes
adviceYes
quickReadYes
spotlightYes
dailyMessageYes
energyRatingYes
overallPhaseYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "advice": {
      +      "type": "string"
      +    },
      +    "dailyMessage": {
      +      "type": "string"
      +    },
      +    "date": {
      +      "type": "string"
      +    },
      +    "energyRating": {
      +      "type": "number"
      +    },
      +    "overallPhase": {
      +      "enum": [
      +        "high_energy",
      +        "mixed",
      +        "recovery",
      +        "critical"
      +      ],
      +      "type": "string"
      +    },
      +    "quickRead": {
      +      "properties": {
      +        "emotional": {
      +          "type": "number"
      +        },
      +        "intellectual": {
      +          "type": "number"
      +        },
      +        "physical": {
      +          "type": "number"
      +        }
      +      },
      +      "required": [
      +        "physical",
      +        "emotional",
      +        "intellectual"
      +      ],
      +      "type": "object"
      +    },
      +    "seed": {
      +      "type": "string"
      +    },
      +    "spotlight": {
      +      "properties": {
      +        "cycle": {
      +          "enum": [
      +            "physical",
      +            "emotional",
      +            "intellectual"
      +          ],
      +          "type": "string"
      +        },
      +        "message": {
      +          "type": "string"
      +        },
      +        "phase": {
      +          "enum": [
      +            "peak",
      +            "high",
      +            "rising",
      +            "critical_ascending",
      +            "critical_descending",
      +            "falling",
      +            "low",
      +            "trough"
      +          ],
      +          "type": "string"
      +        },
      +        "value": {
      +          "type": "number"
      +        }
      +      },
      +      "required": [
      +        "cycle",
      +        "value",
      +        "phase",
      +        "message"
      +      ],
      +      "type": "object"
      +    }
      +  },
      +  "required": [
      +    "date",
      +    "seed",
      +    "energyRating",
      +    "overallPhase",
      +    "spotlight",
      +    "quickRead",
      +    "dailyMessage",
      +    "advice"
      +  ],
      +  "type": "object"
      +}
  2. Changed2 schema fields changed
    • changedInput schema / properties / lang / description
      Previous value: -"Response language (ISO 639-1). Supported: en, tr, de, es, hi, pt, fr, ru. Defaults to en. Languages without translations yet return English."New value: +"Response 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."
    • changedInput schema / properties / lang / enum
      Previous value: -[
      -  "en",
      -  "tr",
      -  "de",
      -  "es",
      -  "hi",
      -  "pt",
      -  "fr",
      -  "ru"
      -]New value: +[
      +  "en",
      +  "tr",
      +  "de",
      +  "es",
      +  "hi",
      +  "pt",
      +  "fr",
      +  "ru",
      +  "zh-Hans",
      +  "zh-Hant"
      +]
  3. Changed2 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {}
      +]
    • changedInput schema / properties / compact / description
      Previous value: -"Set true to receive the exact same data in a token-optimized shape that is cheaper for you to read: whitespace is stripped and every array of same-shaped objects is encoded columnar as {\"__cols\":[field names],\"__rows\":[[values]]}, so each field name is sent once instead of once per row. Fully lossless (no field or value is dropped or changed) and typically 40 to 52 percent fewer tokens on large results. Prefer true whenever token or inference cost matters. Default false returns standard indented JSON."New value: +"Set 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."
  4. Changed1 schema field changed
    • changedInput schema / properties / compact / description
      Previous value: -"Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false."New value: +"Set true to receive the exact same data in a token-optimized shape that is cheaper for you to read: whitespace is stripped and every array of same-shaped objects is encoded columnar as {\"__cols\":[field names],\"__rows\":[[values]]}, so each field name is sent once instead of once per row. Fully lossless (no field or value is dropped or changed) and typically 40 to 52 percent fewer tokens on large results. Prefer true whenever token or inference cost matters. Default false returns standard indented JSON."
  5. Changed1 schema field changed
    • addedInput schema / properties / compact
      Added value: +{
      +  "default": false,
      +  "description": "Return the same data in a token-optimized compact shape (minified, with same-shaped arrays encoded columnar) to reduce LLM token cost. Lossless: no fields are dropped. Default false.",
      +  "type": "boolean"
      +}
  6. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and destructiveHint=false. The description adds meaningful behavioral detail beyond that: same seed plus same date always yields the same reading, the spotlight cycle is deterministically selected, and the output includes a consistent set of fields. This gives an agent confidence about reproducibility and side-effect-free behavior without contradicting the annotations.

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 three sentences, front-loads the core operation, and each sentence earns its place: what it does, why the seed matters, and what the response contains. There is no filler or redundant restating of the tool name.

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?

With a full output schema, read-only annotations, zero required parameters, and a description covering purpose, use cases, determinism, and returned content, nothing essential is missing. An agent has enough context to select and invoke this tool correctly.

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 description coverage is 100%, so the baseline is 3, but the description adds value by explaining the seed's deterministic effect on the spotlight cycle and tying the seed to per-user consistency. It reinforces the date and lang defaults without repeating schema mechanics, which helps an agent understand why and how to set parameters.

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 opens with a specific verb and resource: 'Get a daily biorhythm reading with seeded randomness.' It clearly defines the tool's scope as a seeded, daily-reading generator and distinguishes it from siblings like post_biorhythm_forecast or post_biorhythm_phases by emphasizing the daily check-in use case and deterministic seed behavior. The list of returned fields further anchors what the tool does.

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 names concrete scenarios: daily push notifications, morning briefings, and wellness app check-ins. It does not explicitly list exclusions or alternative sibling tools, so it stops short of full when-to-use/when-not-to-use guidance, but the intended context is clear.

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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