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polymarket-whale-entries

Scan Polymarket for large trades and filter by minimum USDC value. Get whale entry details including trader wallet, side, amount, price, market name, and transaction hash for smart-money signals.

Instructions

Scans Polymarket for recent large-position trades. Returns whale entries filtered by minimum USDC value (size × entry price). Includes trader wallet, YES/NO side, USDC amount, entry price, market name, and on-chain tx hash. Use for smart-money signals, copy-trade detection, or market sentiment confirmation. Free upstream; no API keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
min_usdcNoMinimum USDC value per trade (size × price). Default: 500.
limitNoMaximum whale trades to return (1–50). Default: 10.
sideNoFilter by trade direction: BUY (taking YES/NO position) or SELL (closing/shorting). Omit for both.
marketNoKeyword filter on market title (case-insensitive). E.g. 'bitcoin', 'election', 'fed rate'.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the returned fields and free nature, but omits details like data freshness, rate limits, pagination, or whether results are real-time. This is insufficient for a tool without 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 three sentences, front-loaded with the main action, and contains no redundant or unnecessary information.

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's moderate complexity (4 optional parameters, no output schema), the coverage is adequate. It explains the tool's purpose, parameters, and returned fields, though edge cases and output structure are not detailed.

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 baseline is 3. The description adds context for 'min_usdc' (value = size × entry price) and provides example usage for 'market', but does not significantly enhance meaning beyond the schema's parameter 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 action (scan for large-position trades), resource (Polymarket), and provides specific details (filters, fields). It distinguishes from sibling Polymarket tools by focusing on whale trade data.

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?

Explicit use cases are given: 'smart-money signals, copy-trade detection, or market sentiment confirmation.' Also notes 'Free upstream; no API keys.' No exclusions or alternative tools are named, but context is clear.

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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