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Coinversaa

Coinversaa Pulse

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pulse_cohort_trades

Retrieve recent trades made by a specific trader cohort, such as all trades by the money_printer tier within a chosen time window. Get real-time alpha from Hyperliquid data.

Instructions

See every trade a specific cohort has made recently. For example: 'show me all trades the money_printer tier made in the last hour.' This is real-time alpha — nobody else has this data as an API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
useToonFormatNoReturn data in compact toon format (default: true). Set to false for standard JSON.
tierTypeYesTier category: 'pnl' for profit tiers, 'size' for volume tiers
tierYesTier name. PnL tiers: money_printer, smart_money, grinder, humble_earner, exit_liquidity, semi_rekt, full_rekt, giga_rekt. Size tiers: leviathan, tidal_whale, whale, small_whale, apex_predator, dolphin, fish, shrimp
sinceNoTime window: e.g. '10m' (minutes), '1h' (hours), '1d' (days)1h
limitNoNumber of trades to return
Behavior2/5

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

No annotations are provided, and the description lacks behavioral details such as rate limits, authentication requirements, or what happens when no trades are found. The marketing claim about real-time alpha does not compensate for missing operational 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?

Two sentences, the first is highly informative. The second sentence adds marketing hype but is not essential. Overall concise and front-loaded.

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

Completeness3/5

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

The description explains the core function but does not cover edge cases, return format (beyond the toon parameter), or how to choose between 'pnl' and 'size' tier types. Missing some context for a user unfamiliar with the system.

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?

With 100% schema description coverage, the baseline is 3. The description does not add significant meaning beyond the schema, though the example illustrates the 'tier' parameter's usage.

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 retrieves recent trades for a specific cohort, using a concrete example ('money_printer tier') and distinguishes it from sibling tools like pulse_cohort_positions.

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 provides a clear usage context ('see every trade a specific cohort has made recently') and an example, but does not explicitly state when to use this tool over alternatives like pulse_cohort_summary or pulse_cohort_positions.

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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