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pythia-the-oracle

pythia-oracle-mcp

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get_token_feeds

Retrieve all available indicator feeds for a given token: includes EMA, RSI, Bollinger, and Volatility across timeframes, along with reliability stats and data source count.

Instructions

Get all available indicator feeds for a specific token.

Shows every feed name (EMA, RSI, Bollinger, Volatility across all timeframes), the token's reliability stats, and data source count. Feed names are what you pass to the on-chain oracle to request data.

Args: engine_id: Token engine ID (e.g., 'bitcoin', 'solana', 'bittensor', 'aave', 'pol'). Use list_tokens() to see all available IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
engine_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description bears full burden. It discloses that the tool returns feed names, reliability stats, and data source count, but does not mention any side effects, permissions, or rate limits. The read-only nature is implied but not explicit.

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 concise with a clear structure: purpose sentence, list of output contents, and parameter explanation. No redundant 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?

Given that the tool has only one parameter and an output schema (not shown), the description adequately covers what the tool returns and how to use it. It also connects the output to subsequent steps (passing feed names to oracle).

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?

The single parameter engine_id is explained with examples ('bitcoin', 'solana', etc.) and a reference to list_tokens() for valid values. This adds significant value over the schema, which has 0% description coverage.

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 'Get all available indicator feeds for a specific token', providing a specific verb and resource. It distinguishes from siblings by focusing on listing available feeds rather than fetching values or managing subscriptions.

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 explains that feed names are used for oracle requests and instructs to use list_tokens() for engine IDs. However, it does not explicitly specify when to use this tool over alternatives like get_feed_value.

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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