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Emoji Oracle Consult

emoji_oracle_consult
Read-onlyIdempotent

Ask the Emoji Oracle a question and receive a cryptic emoji prophecy with vibe rating. Optionally request interpretation of the emoji sequence. Returns emoji sequence, vibe rating (1-10), and optional text explanation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesYour question for the Emoji Oracle
interpretNoIf true, the Oracle provides a mystical interpretation
emoji_countNoNumber of emojis (1-5, default 3)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
emojisYesCryptic emoji sequence prophecy from the Oracle
vibe_ratingYesVibe rating on a scale of 1-10
interpretationNoMystical text interpretation of the emoji sequence (if interpret=true)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added
  2. Removed
  3. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations indicate a safe, idempotent, read-only operation. The description adds behavioral context by stating the output includes 'cryptic emoji prophecy', 'vibe rating (1-10)', and optional 'text explanation'. This goes beyond the annotations to describe the informal, amusing nature of the response. No contradictions 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.

Conciseness5/5

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

The description is two sentences, with the first sentence front-loading the purpose. Every word is meaningful; no fluff. It efficiently communicates what the tool does and what it returns.

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?

The description covers the key outputs (emoji sequence, vibe rating, optional interpretation) and parameters. An output schema exists, so details on return format are not required. For a simple, playful tool this is complete. Minor omission: no error handling or edge cases, but acceptable for this context.

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 coverage is 100%, so the description's addition is moderate. It reiterates the role of 'question' and adds context about 'interpret' (optional interpretation) and 'emoji_count' (number of emojis). It also mentions 'vibe rating' which is not in the schema. This adds value beyond the schema, justifying a 4.

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 clearly states the tool's purpose: asking a question to the Emoji Oracle and receiving a prophetic emoji response with a vibe rating. It specifies the verb 'Ask', resource 'Emoji Oracle', and outputs (emoji sequence, vibe rating, optional interpretation). This distinguishes it from sibling tools like 'ask_pipeworx' which are for different purposes.

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 explicitly says 'Ask the Emoji Oracle a question', which provides clear usage context for light-hearted, mystical queries. It does not provide explicit when-not-to-use or alternative tools, but the nature of the tool (cryptic emoji prophecy) naturally distinguishes it from more serious siblings like 'deep_research' or 'entity_profile'.

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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