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get_whale_movements

Recent large 'whale' transactions (buys, sells, transfers) across 17 EVM chains. Use to see what smart money is doing right now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNoChain id, e.g. ethereum, base, arbitrum, optimism. Omit for all chains.
limitNoMax results (default 20, max 100).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / chain / description
      Previous value: -"Chain id, e.g. ethereum, base, arbitrum, bnb. Omit for all chains."New value: +"Chain id, e.g. ethereum, base, arbitrum, optimism. Omit for all chains."
  2. First observed

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It only mentions 'recent' and 'large' transactions, but doesn't disclose the time window, sorting, pagination, or any other behavioral traits. It also doesn't clarify whether results are live or delayed.

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?

Two sentences, front-loaded with the core functionality and a concise usage hint. No wasted words.

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

Completeness2/5

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

No output schema exists, so the description should indicate the structure of results (e.g., list of transactions with amounts, addresses, timestamps). It doesn't. For a simple tool this is a minor gap, but it's still incomplete for an agent deciding whether to call it.

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 descriptions cover 100% of parameters (chain and limit) with clear examples and defaults. The description adds no extra meaning beyond the schema, so a baseline of 3 is appropriate.

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 returns recent large whale transactions (buys, sells, transfers) across 17 EVM chains, which is a specific verb+resource. It is distinct from siblings like get_market_overview or get_trading_signals, though it doesn't explicitly name alternatives.

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?

It provides a use case ('Use to see what smart money is doing right now'), which implies when to use it, but does not contrast it with sibling tools like get_smart_money or get_trading_signals. No explicit when-not-to-use guidance is given.

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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