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get_price_updates_at_time

Retrieve historical Pyth Network price feed updates from a specific timestamp for crypto, equity, FX, metal, and rates markets.

Instructions

Get historical Pyth Network price updates at or after a specific timestamp

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
publish_timeYesUnix timestamp in seconds
idsYesList of price feed IDs to get updates for
encodingNoEncoding type for binary data (default: hex)
parsedNoInclude parsed price update (default: true)
ignore_invalid_price_idsNoIgnore invalid price IDs (default: false)
include_binaryNoInclude binary proof data (default: false)
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic operation without disclosing behavioral traits. It does not cover rate limits, authentication needs, error handling, pagination, or response format. The phrase 'at or after a specific timestamp' hints at temporal behavior but lacks detail on how multiple updates are handled.

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 a single, efficient sentence that front-loads the core purpose. Every word earns its place, with no redundant or vague language. It directly communicates the tool's function without unnecessary elaboration.

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?

For a tool with 6 parameters, no annotations, and no output schema, the description is minimal. It adequately states the purpose but lacks behavioral details, parameter guidance, and output information. Given the complexity and absence of structured data, it should provide more context about usage and results.

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 schema fully documents all 6 parameters. The description adds no parameter-specific information beyond implying temporal filtering via 'publish_time'. It does not explain parameter interactions or provide additional context beyond what the schema offers.

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 the action ('Get historical Pyth Network price updates') with specific temporal scope ('at or after a specific timestamp'), distinguishing it from siblings like 'get_latest_price_updates' (current) and 'get_twap_latest' (time-weighted). It explicitly identifies the resource (Pyth Network price updates) and verb (Get historical).

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 implies usage for historical data retrieval, contrasting with 'get_latest_price_updates' for current data. However, it lacks explicit guidance on when to use this tool versus alternatives like 'get_price_feeds' or 'get_twap_latest', and does not mention prerequisites or exclusions.

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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