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compare_tokens

Read-only
Statistics for up to 100 tokens in a single request. Use for shortlists, or to

follow up on the most-traded analytics view.



blockchain: solana, bnb, base, eth or rh

mints: up to 100 token addresses

wallet_type: kol, smart or whale (default kol)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mintsYesUp to 100 token addresses. Use for shortlists, or to follow up on the most_traded analytics view.
blockchainYesBlockchain. One of: solana, bnb, base, eth, rh. solana has kol, smart and whale wallets; bnb, base and rh have kol and smart; eth has kol only. rh is Robinhood Chain, an Ethereum L2.
wallet_typeNoWallet type. kol is a Key Opinion Leader, an influencer whose calls move markets. smart is a wallet selected for its track record. whale is a large holder, Solana only.kol

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true, covering safety and data volatility. The description adds the 100-token limit and use-case context but doesn't disclose behavior like data freshness, rate limits, or what 'statistics' specifically includes. The description does not contradict annotations.

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 very concise—three short, bullet-like lines. The key capability (statistics for up to 100 tokens) is front-loaded, and every sentence adds value. No wasted words.

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 the tool has only 3 parameters (2 required), full schema descriptions, annotations, and an output schema, the description is sufficient for most use cases. It covers the core constraint (max 100 tokens) and typical usage scenarios. It doesn't explain edge cases or error handling, but that is acceptable given the supporting structured fields.

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 baseline is 3. The description lists parameters blockchain, mints, and wallet_type in a summary line, which adds little beyond the schema. It does not explain format constraints like token address length or blockchain-specific wallet availability, which are already in the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool provides statistics for up to 100 tokens in one request. It identifies the resource (tokens) and action (compare/get statistics). While it distinguishes from sibling compare_wallets, it doesn't explicitly differentiate from get_token_stats or get_analytics, which could also provide token statistics.

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?

The description suggests two usage contexts: shortlists and following up on the most-traded analytics view. However, it lacks explicit guidance on when not to use this tool (e.g., for single token stats or historical data) and doesn't mention alternatives like get_token_stats or get_analytics.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct function—comparing tokens vs. wallets, detecting bundles, retrieving historical vs. current signals, etc. Overlap is minimal, and descriptions clearly differentiate similar-sounding tools.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (compare_, detect_, get_, list_, lookup_), all in snake_case, making it easy to predict and understand the purpose of each tool.

Tool Count4/5

With 21 tools, the set is slightly above the typical 'well-scoped' range, but the breadth of functionality—covering wallet stats, tokens, signals, bundles, and comparisons across multiple blockchains—warrants the number. No tool feels redundant.

Completeness5/5

The tool surface covers essentially all aspects of wallet tracking: browsing, per-wallet stats/history/holdings/connections, token-level analysis, signals, bundles, leaderboards, and activity metrics. No obvious gaps for the stated purpose.

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