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Dream Interpretation MCP Server by RoxyAPI

by com.roxyapi
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Daily dream symbol - Dream symbol of the day API

post_dreams_daily
Read-only

Receive a single dream symbol for daily reflection and subconscious exploration. Uses seeded randomness so the same seed gets the same symbol on the same day, perfect for "Dream Symbol of the Day" features. Provide a seed (userId, email hash, session token) for reproducible consistency, or omit for date-based daily symbols. Returns the symbol with full psychological interpretation. Great for dream journal apps, wellness platforms, morning ritual apps, and meditation tools.

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.
seedNoOptional seed for reproducible readings. Same seed + same date = same symbol 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
symbolYes
dailyMessageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "dailyMessage": {
+      "type": "string"
+    },
+    "date": {
+      "type": "string"
+    },
+    "seed": {
+      "type": "string"
+    },
+    "symbol": {
+      "properties": {
+        "id": {
+          "type": "string"
+        },
+        "letter": {
+          "type": "string"
+        },
+        "meaning": {
+          "type": "string"
+        },
+        "name": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "id",
+        "name",
+        "letter",
+        "meaning"
+      ],
+      "type": "object"
+    }
+  },
+  "required": [
+    "date",
+    "seed",
+    "symbol",
+    "dailyMessage"
+  ],
+  "type": "object"
+}
  2. 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."
  3. 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."
  4. 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"
+}
  5. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already carry readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral detail beyond annotations: same seed plus same date yields the same symbol, omitting the seed falls back to date-based selection, and the response includes full psychological interpretation. No contradiction with annotations.

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 four sentences and front-loads the core action and value proposition. The seed behavior and use cases follow naturally, and there is minimal filler. The target-app sentence is somewhat optional but still helpful for context.

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?

For a read-only tool with zero required parameters and an output schema, this description is sufficient for an agent to understand what the tool returnsainer, how reproducibility works, and when to use it. Compact output is not described, but the schema covers it, and no critical invocation details are missing.

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 coverage is 100%, so the parameters date, seed, and compact are already well documented. The description restates seed behavior and gives examples like userId/email hash/session token, but those examples also appear in the schema. It adds no significant meaning beyond the schema for compact, leaving that to the input schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with 'Receive a single dream symbol' and positions it as a daily, seeded, reproducible endpoint, which clearly separates it from generic symbol lookups. It does not explicitly contrast with sibling tools like get_dreams_symbols_random, but the 'Dream Symbol of the Day' framing and determinism make its purpose clear.

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 gives clear context: it is 'perfect for Dream Symbol of the Day' features and lists appropriate app categories. It also explains when to pass a seed versus when to omit it for date-based daily symbols. However, it does not explicitly tell the agent when not to use another sibling tool.

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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