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SpiritWave Labs Divination Engine

Pentamancy Council Reading

consult_council

Consult the Pentamancy Council — five ancient oracles (Hafez, Tarot, Runes, I Ching, Geomancy) consulted in parallel and synthesized into a single unified reading. Use this when someone needs deep, multi-perspective guidance on a question. The council draws all five oracles server-side, interprets each, then synthesizes. Best for questions of substance: major decisions, emotional crossroads, spiritual direction. Not for trivial yes/no questions. Cost: $0.50 per call, paid via x402 (USDC on Base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesThe question to consult the council about. Should be a genuine question needing guidance — e.g. 'Should I change careers?' or 'What do I need to understand about this relationship?' Avoid yes/no questions; the council works best with open questions seeking insight.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that the five oracles are drawn server-side, interpreted, and then synthesized, and it states the exact cost and payment method ('$0.50 per call, paid via x402 (USDC on Base)'). This is significant behavioral disclosure for a paid external operation.

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 compact and well-structured: it opens with what the tool does, then explains when to use it, then closes with the cost. There is no filler, and each sentence carries distinct information.

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 single-parameter tool with no output schema and no annotations, the description covers everything an agent needs to decide to call it: the process, the use case, the exclusions, the cost, and the payment rail. The schema covers the parameter format, so nothing essential is 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 description coverage is 100%, so the baseline is 3. The input schema already explains the question requirement and gives examples. The description reinforces the open-question guidance ('Not for trivial yes/no questions') but adds no additional parameter-level detail 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 a specific verb ('Consult the Pentamancy Council'), a concrete resource (five oracle systems consulted in parallel and synthesized), and clearly distinguishes it from the sibling single-oracle tools. The phrase 'consulted in parallel and synthesized into a single unified reading' makes the tool's unique function unmistakable.

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?

Explicit guidance is given: 'Use this when someone needs deep, multi-perspective guidance' and 'Best for questions of substance... Not for trivial yes/no questions.' The only gap is that no alternative sibling is named for the 'trivial yes/no' case, but the contrast with the single-oracle siblings is clear from context.

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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