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robinhood_nft_check

Safety check for a ROBINHOOD-CHAIN NFT collection (Anvil marketplace, Howl Street, etc). OpenSea's trust signals don't cover Robinhood, so this is the only read: source VERIFIED?, ERC-721 vs 1155, holder count, creator, on-chain activity, and Blockscout's scam flag. Give a 0x collection address. Use for 'is this Robinhood/Anvil NFT collection legit / a rug'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNochain (default robinhood)
addressYesthe 0x NFT collection address on Robinhood Chain

TDQS

A3.9/5.0
Behavior3/5

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

With no annotation provided, the description carries the full burden. It lists the on-chain signals it checks and mentions Blockscout as a data source, which gives useful insight. However, it does not explicitly state it is read-only, nor does it mention any potential side effects, rate limits, or error behavior.

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?

Three sentences cover purpose, context, and usage. The description is information-dense without padding, though it could be slightly shorter without losing value.

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?

Given there's no output schema, the description compensates by enumerating the returned signals (VERIFIED status, ERC type, holder count, creator, activity, scam flag). It also provides chain context and an example usage. Missing details like error conditions are minor given the tool's simplicity.

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 the schema already documents both parameters. The description adds only 'Give a 0x collection address' which reinforces the existing schema but doesn't add substantial new meaning. The chain default is already in the schema.

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 it is a safety check for a ROBINHOOD-CHAIN NFT collection, with a specific verb ('check') and resource. It enumerates the exact signals checked (source VERIFIED, ERC standard, holder count, creator, on-chain activity, scam flag), and distinguishes itself by noting OpenSea's trust signals don't cover Robinhood.

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 explicitly says to use this for legitimacy/rug checks on Robinhood/Anvil NFT collections, and notes it is 'the only read' because OpenSea doesn't cover this chain. It doesn't explicitly mention alternatives for non-Robinhood chains, but the context is clear enough.

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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