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wallet_nfts

What NFTs a WALLET holds / has minted or collected across the main OpenSea chains (ethereum, polygon, base, arbitrum, optimism), and how active it is. THE tool for 'what is this wallet / is it active / what does it hold or mint / show me this OpenSea wallet'. CRITICAL: call this BEFORE ever calling a wallet 'empty' or 'unused' -- an active collector can hold hundreds of NFTs while holding ~0 ETH, so ETH balance alone NEVER proves a wallet is unused. Multi-chain in one call. Needs a 0x wallet address.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
addressYesthe 0x wallet address to look up

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the multi-chain scope, the types of NFT data (holds/minted/collected), and activity assessment. It also warns about the ETH balance trap. However, it does not describe the return format, pagination, or rate limits, which would improve transparency.

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?

The description is front-loaded with the core purpose, then positions the tool as primary, and includes a critical usage warning. It is slightly verbose with the 'CRITICAL:' emphasis but every sentence provides value, and the multi-chain note is concise. Not overly long for the context it provides.

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

Completeness4/5

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

For a simple single-parameter tool with no output schema, the description covers scope, use cases, and a key trap. It does not specify the exact return structure (e.g., list of NFTs vs summary stats), but the agent gains enough context to invoke correctly. The description compensates well for the absence of annotations.

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?

The schema covers the single 'address' parameter with a description already stating '0x wallet address to look up'. The description repeats the need for a 0x address but adds no new details like ENS support, checksum format, or behavior for invalid addresses. Since schema coverage is 100%, baseline 3 is appropriate.

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 tool returns what NFTs a wallet holds, minted, or collected across specific OpenSea chains, and activity level. It explicitly positions itself as 'THE tool' for wallet-level NFT queries, distinguishing it from siblings like wallet_funds which presumably handles ETH balances.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance: 'what is this wallet / is it active / what does it hold or mint / show me this OpenSea wallet'. Includes a critical warning to call before declaring a wallet empty, contrasting with ETH balance checks. It also states multi-chain capability as an advantage.

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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TDQS

A3.7/5.0
Disambiguation3/5

Many tools share the same core purpose (safety checks) differentiated mainly by chain or asset type, and descriptions are detailed enough to distinguish them most of the time. However, pairs like rug_check/rugcheck and deployer_check/deployer_reputation have overlapping purposes that could lead to misselection.

Naming Consistency3/5

Most tool names follow a lowercase snake_case pattern with clear descriptors, but there are notable exceptions like 'rugcheck', 'defillama', and 'verify'. Additionally, the 'rug_check' vs 'rugcheck' pair is an obvious naming inconsistency.

Tool Count2/5

44 tools is excessive for any server. Even for a broad security/due-diligence purpose, many tools (especially the robinhood_* series) are highly specialized and could be consolidated into fewer actions.

Completeness4/5

The tool surface is impressively comprehensive, covering token/NFT safety, transaction simulation, whale/address tracking, stock analysis, prediction markets, and project validation. Minor gaps exist (e.g., no ENS resolution or stock price history), but they are not critical for the server's core purpose.

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