wallet-tracker

get_activity_metrics

Read-only

How many trades happened and how much value moved over a window of up to 24

hours, plus how many distinct wallets were involved. Use for how busy the

market or a single token is, rather than for the individual trades.



blockchain: solana, bnb, base, eth or rh

wallet_type: kol, smart or whale (default kol)

hours: window in hours, at most 24 (default 1)

mint: restrict to one token

Input Schema

TableJSON Schema

Name	Required	Description	Default
`mint`	No	Restrict the result to a single token. Leave empty for all tokens.
`hours`	No	Observation window in hours. The server caps this at 24.
`blockchain`	Yes	Blockchain. 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_type`	No	Wallet 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

Name	Required	Description	Default
No arguments

TDQS

A4.7/5.0

Behavior4/5

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

Annotations indicate readOnlyHint=true and openWorldHint=true. The description adds context that the tool returns aggregated metrics (trades, value, wallets) over a configurable window, and that wallet types have specific blockchain availability. It 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 efficiently structured: results first, then usage guidance, then parameter list. Every sentence adds unique information with no redundancy.

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

Completeness5/5

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

Given the output schema exists, the description does not need to detail return values. It adequately covers the tool's purpose, parameters, constraints, and usage context for its complexity level.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but the description adds significant value by explaining wallet type meanings (kol as influencer, smart as track record, whale as large holder) and blockchain-specific wallet availability, which goes beyond the schema descriptions.

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 counts of trades, value moved, and distinct wallets over a window. It explicitly says to use for market or single token busyness, distinguishing it from individual trade tools like get_recent_trades.

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?

The description provides explicit when-to-use guidance: 'Use for how busy the market or a single token is, rather than for the individual trades.' It also lists parameter defaults and constraints, aiding appropriate invocation.

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.

Resources

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