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OOBE-PROTOCOL

SAP MCP Server

pyth_listPriceFeeds

Retrieve Pyth price feeds filtered by search term or asset type including crypto, equity, FX, metal, and rates.

Instructions

List available Pyth price feeds, optionally filtered by query or asset type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch filter (e.g. "SOL", "BTC")
assetTypeNo
Behavior3/5

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

No annotations provided, so description carries burden. Only states it lists feeds with optional filtering; does not disclose read-only nature or any side effects. Adequate but minimal.

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?

Single sentence, no redundancy. Every word serves a purpose. Extremely concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Does not describe the output format or what information the list contains (e.g., feed names, IDs). Adequate for a simple list tool but lacks detail for an agent to fully understand the response.

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 has 50% coverage (query described, assetType enum values clear). Description adds 'optionally filtered by query or asset type', which reinforces purpose. Meets baseline for covered parameters.

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?

Clearly states the tool lists available Pyth price feeds with optional filtering by query or asset type. Distinguishes from other Pyth tools like pyth_getPrice and pyth_getPriceHistory by focusing on discovery.

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?

Implies usage for discovering price feeds before querying specific prices. Does not explicitly mention when not to use or provide alternatives, but the context of sibling tools makes it clear.

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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