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Angel Numbers

Angel number reading

angel_number
Read-only

Angel number: look up original meanings, root reduction, and reflective themes for repeating number patterns. Entertainment and reflection only. Never predicts lottery or wealth. Data is not stored.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
digitsYesNumerical digits of the angel number (e.g. '111', '444', '1111', '1212'). 1 to 6 digits. Not stored.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYes
rootNo
textYesThe answer, starting with the disclaimer line.
as_ofYesUTC date the answer was made (YYYY-MM-DD).
themeNo
digitsNo
sourceYes
meaningNo
readingNo
disclaimerYesAlways the first line: entertainment and reflection, not advice.
affirmationNo
pattern_typeNo
master_numberNo
prompt_versionNo
grounding_adviceNo
reflection_promptNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false), and the description adds non-obvious behavioral facts: results are not persisted ('Data is not stored') and the output is entertainment-scoped with no predictive claims. The idempotentHint=false on what reads like a deterministic lookup is unexplained, but nothing contradicts 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences with the core purpose front-loaded, followed by scope disclaimers and a privacy note; each sentence earns its place. The leading 'Angel number:' label mildly restates the tool name/title but costs almost nothing.

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?

With an output schema present, the description need not explain return values, and it covers purpose, scope limits, and data handling for a one-parameter read-only tool. Only the meaning of 'root reduction' is left for the output schema to clarify, which is acceptable.

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% and the single 'digits' parameter already documents format, examples, and the 1-6 digit length constraint, so the schema carries the semantics. The description adds no format or edge-case guidance beyond what is already structured, making 3 the appropriate baseline.

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 names a specific verb+resource ('look up original meanings, root reduction, and reflective themes') for a specific input class ('repeating number patterns'). Nothing in the sibling set (feedback/index tools) overlaps, so an agent can select this tool unambiguously.

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 gives explicit scope boundaries: 'Entertainment and reflection only' and 'Never predicts lottery or wealth,' which tells the agent when not to route prediction-style requests here. It stops short of naming an alternative tool for those out-of-scope intents, so it is not a full 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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