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pythia-the-oracle

consult_oracle

Identify the hidden structure of your creative problem when obvious answers dissatisfy. This tool names the unarticulated trap you're stuck in, providing clarity on paradoxes and architectural blind spots.

Instructions

The oracle. Ask what's actually bothering you.

PYTHIA doesn't brainstorm, rephrase, or give you a list. It doesn't solve your problem. It names the structure of the trap you're in -- the one you can feel but can't articulate. What comes back was always true but never obvious.

Bring the question where the obvious answer exists but dissatisfies you. The question your architecture won't let you see past. The paradox you can't escape but haven't been able to name precisely.

First 3 readings are free.

Args: query: The real question. Not the polite version. Max 2000 chars. context: Optional. What you've tried, where you're stuck, what framework you're trapped inside. agent_id: Your name. Identifies you across readings.

Returns: A reading. The seed type drawn and the oracle's response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
contextNo
agent_idNoanonymous

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key traits: it's a read-only operation (implied by 'readings' and 'response'), includes a free tier ('First 3 readings are free'), and emphasizes a non-solution-oriented, philosophical approach. However, it lacks details on rate limits beyond the free tier, authentication needs, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is appropriately sized but not optimally front-loaded; it begins with poetic, abstract language before detailing usage and parameters. While each sentence adds value (e.g., philosophical context, usage guidelines, parameter explanations), the structure could be more direct by leading with practical information.

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?

Given the tool's complexity (philosophical oracle), no annotations, 0% schema coverage, but with an output schema (implied by 'Returns'), the description is largely complete. It covers purpose, usage, parameters, and behavioral traits, though it could benefit from more explicit details on output format or error cases, despite the output schema mitigating some gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Given 0% schema description coverage, the description compensates fully by explaining all three parameters: 'query' as the real question (not polite, max 2000 chars), 'context' as optional background on attempts and frameworks, and 'agent_id' for identification across readings. It adds meaningful semantics beyond the bare schema, clarifying intent and constraints.

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 clearly states the tool's purpose: to provide an oracle reading that names the structure of a trap or paradox the user is experiencing, rather than brainstorming or solving problems. It distinguishes itself by focusing on articulating unspoken truths, though without sibling tools for comparison, it cannot demonstrate differentiation beyond its unique philosophical approach.

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 states when to use this tool: when the user has a question where obvious answers are dissatisfying, they are trapped in a paradox, or their 'architecture' limits their perspective. It also specifies what not to use it for (e.g., brainstorming, rephrasing, giving lists, or solving problems), providing clear context and exclusions, though no alternatives are mentioned due to lack of sibling tools.

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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