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Echo Sentiment — XLM Market Sentiment

$0.02 — get_whale_flow

get_whale_flow

PAID $0.02 per call (https://api.6766587364.lol/v1/whale-flow). Smart-money / DEX flow verdict for a token: 24h buy/sell pressure, liquidity, average trade size and an activity-surge ratio. Verdict accumulating / distributing / balanced, with thin-liquidity and surge notes. Keyless and multi-chain (base, solana, ethereum, bsc, polygon, arbitrum, optimism, avalanche). Returns a payment requirement until called with a payment header, a prepaid bundle_token, or a free-tier api_key (mint one with get_free_api_key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNobase
tokenNo
api_keyNo
paymentNo
bundle_tokenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
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 so thoroughly: it discloses the exact price, the URL, the three authentication paths, and — critically — that an unauthenticated call returns a payment requirement rather than data. It also states keyless multi-chain operation and names the eight supported chains. This is unusually complete behavioral disclosure for a paid tool.

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?

Front-loaded with price and purpose, then metrics, then auth — a sensible information order. The chain list and parenthetical auth options make it dense, but nearly every clause carries operational weight; only slight tightening is possible.

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?

No output schema exists, so the description must describe returns — and it names the verdict values and the thin-liquidity/surge notes, which is adequate. It covers pricing, auth, and chains for what is a fairly complex paid tool, though it omits token input format and error behavior beyond the payment-required case.

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 description coverage is 0%, so the description must compensate, and it mostly does: `token` is identified as the subject, `chain` is concretely scoped to eight named networks, and `api_key`, `payment`, and `bundle_token` are each explained as alternative auth mechanisms. It stops short of specifying token format, defaults, or required-vs-optional status, leaving minor gaps.

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?

States a specific verb+resource ('Smart-money / DEX flow verdict for a token') and enumerates the signals returned (24h buy/sell pressure, liquidity, average trade size, activity-surge ratio). The accumulating/distributing/balanced verdict framing distinguishes it clearly from siblings like check_token_safety or get_base_wallet_intel.

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?

Gives clear invocation context: it is a paid endpoint ($0.02), usable keyless or via `payment` header / prepaid `bundle_token` / free-tier `api_key`, with an explicit route to get_free_api_key to mint a key. It does not, however, state when to prefer this analytical verdict over alternatives such as check_token_safety, so no explicit exclusions are offered.

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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