SAP MCP Server

Pyth List Price Feeds

pyth_listPriceFeeds

Read-onlyIdempotent

List available Pyth price feeds, optionally filtered by query or asset type. SAP MCP context: Protocol pyth; operation class read. Use for Pyth oracle price reads and feed discovery. Use oracle reads as context for pricing, risk checks, and market-aware agent decisions; do not treat them as settlement proof.

SAP MCP execution guidance: Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`query`	No	Search filter (e.g. "SOL", "BTC")
`assetType`	No	Asset Type parameter for Pyth List Price Feeds.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`content`	Yes	MCP content blocks returned to the caller.
`isError`	No	True when the tool result represents an application-level error.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedJul 24, 2026

addedInput schema / description

Added value: +"Pyth List Price Feeds input schema. Intent: read/discovery workflow. Pricing: paid read-premium; estimate first, then use sap_payments_call_paid_tool when the runtime cannot replay x402 natively. Routing: paid hosted call; call sap_estimate_tool_cost first, then use sap_payments_call_paid_tool if the runtime cannot handle x402 natively. Signer boundary: hosted reads/builders never receive keypair bytes; value-moving results must be finalized locally when signing is required. Use exact field names from this schema; do not guess aliases or include private key material."

First observedJul 13, 2026

TDQS

A4/5.0

Behavior4/5

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

Annotations already indicate readOnly and idempotent. Description adds useful context: paid read-premium, do not treat as settlement proof, signer boundary for hosted reads. No contradiction 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.

Conciseness4/5

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

First sentence is clear and front-loaded. The SAP execution guidance adds length but may be necessary. Overall well-structured with no wasted words.

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 output schema exists, description covers purpose, parameters, behavioral caveats, and operational context. No gaps identified for a list/discovery tool.

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 coverage is 100%, so baseline 3. Description mentions optional filtering by query or asset type but adds no new semantic information beyond the schema's descriptions.

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?

Description clearly states 'List available Pyth price feeds' with optional filtering, distinguishing it from related tools like pyth_getPrice that fetch specific prices. The verb 'list' and resource 'price feeds' are specific.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Description implies usage for feed discovery and oracle reads but does not explicitly contrast with siblings like pyth_getPrice or pyth_getPriceHistory. The guidance is more about execution routing than selection criteria.

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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