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getNFTSales

Get historical NFT sales data across multiple marketplaces. Filter by network, block range, marketplace, contract, buyer, or seller to analyze NFT trading activity.

Instructions

Get historical NFT sales data, filterable by marketplace, contract, buyer, or seller

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
networkNoNetwork ID. Call listSupportedNetworks for all options. e.g. "eth-mainnet", "base-mainnet"eth-mainnet
fromBlockNoStarting block number. Hex, decimal, or "latest".
toBlockNoEnding block number. Hex, decimal, or "latest".
orderNoSort order: "asc" or "desc".
marketplaceNoMarketplace to filter by. e.g. "seaport", "looksrare", "x2y2", "blur", "cryptopunks"
contractAddressNoContract address of an NFT collection to filter by.
tokenIdNoToken ID within the contract to filter by.
buyerAddressNoAddress of the buyer to filter by.
sellerAddressNoAddress of the seller to filter by.
takerNo"BUYER" or "SELLER" - the price taker in the trade.
limitNoMax number of sales to return. Max and default 1000.
pageKeyNoPagination key from a previous response.
Behavior1/5

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

No annotations exist, and the description does not disclose behavioral traits beyond the schema. It fails to mention read-only nature, rate limits, pagination behavior, or any side effects.

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 with 14 words, front-loaded with key action and resource. No redundancy or wasted words.

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?

With 12 optional parameters and no output schema, the description is minimal. It covers basic purpose but omits pagination, ordering instructions, and output expectations. Adequate but incomplete for optimal use.

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?

Input schema descriptions cover 100% of parameters, so baseline is 3. The description adds minor value by summarizing key filter options, but does not enhance understanding beyond what the schema already provides.

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 verb 'Get' and resource 'historical NFT sales data', and mentions specific filtering dimensions (marketplace, contract, buyer, seller) that help distinguish it from sibling tools like getNFTsForCollection or getNFTsForOwner.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. The description does not provide context such as typical use cases, limitations, or when to prefer other 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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