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whale_activity

Get daily whale movement counts by blockchain and direction over a 1–30 day window. Aggregates signal data across 14 chains to show activity trends without per-transaction details.

Instructions

Get whale activity aggregated by chain and direction — movement COUNTS by day over 1-30 days (not individual transfers; use whale_movements for individual records with amounts) — Aggregated, bounded time-series of recorded whale movements across all 14 supported chains, sourced from our internal signal-history archive. Returns honest movement COUNTS grouped by chain, by money-flow direction (inflow/outflow/transfer/unknown), and by day over a recent window — no per-transaction detail, wallet addresses or explorer links (those stay subscriber-gated at /api/whale-history). Use ?window=N to set the look-back in days (1–30, default 7). Counts only; no USD volume is reported because the archive carries no structured per-move USD figure. Served from cache (no per-request cost). Cached ~5min.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
windowNoLook-back window in days (1–30, default 7). Values outside the range are clamped.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Addedv0.1.2

TDQS

A4.6/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and does well: it discloses no per-transaction detail, no wallet addresses/explorer links, no USD volume, cache staleness (~5 min), no per-request cost, the underlying data source, and the supported direction categories. This is far richer behavioral context than annotations alone would provide.

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?

The description is front-loaded with the core purpose and limitation, followed by useful caveats. There is minor redundancy — 'movement COUNTS' appears twice and the 1–30 day range is mentioned both in the opening and in the parameter note — but no filler or irrelevant content.

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?

For a one-parameter aggregate tool with no output schema and no annotations, this covers input, output grouping, data source, exclusions, caching behavior, and cost. An agent has everything needed to decide whether to call it and what to expect in the response.

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?

The schema already covers window with default, min, max, and clamping, so the baseline is 3. The description adds the serialized usage hint (?window=N), ties the look-back to day-bucketed counts, and reiterates the default. This clarifies how the parameter drives output granularity, though it partially repeats schema content.

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 names a specific resource ('whale activity') and verb ('Get'), and specifies aggregation dimensions (chain, direction, day). It explicitly states this returns movement COUNTS rather than individual transfers, distinguishing it from sibling tools like whale_movements.

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?

It explicitly warns 'not individual transfers' and directs the agent to whale_movements for individual records with amounts, and it documents the window parameter with its default and range. It does not lay out a full decision tree against other aggregate siblings such as whale_daily_summary or whale_movements_summary, but the primary alternative is clearly covered.

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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