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Liquidity magnets and pull

get_liquidity_heatmap
Read-only

OwlChart consensus direction for a coin (one answer shared by every OwlChart chart: lead with consensus.headline) plus where leveraged positions would be liquidated around the current price: the nearest liquidity magnet above and below, the net pull direction, whale bids and asks within 5 percent, open interest by venue, long/short split, RSI and the TBO trend, with the model's measured hit rate. Crypto coins only (BTC, ETH, SOL, WLFI ...).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYesCoin ticker, e.g. BTC

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already carry readOnlyHint and openWorldHint, so the safety profile is covered. The description goes further by scoping the domain to crypto coins and disclosing that results include 'the model's measured hit rate' plus that all OwlChart charts share one consensus answer, which is genuine reliability/consistency context beyond the annotations. Freshness cadence and rate limits remain unstated.

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?

It is a single dense sentence, but because there is no output schema the enumeration of returned fields earns its place and the consensus answer is front-loaded as instructed. It reads as a run-on mixing consensus and heatmap concerns, which slightly hurts scannability.

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?

With no output schema, the description must convey the return shape, and it does so thoroughly: consensus headline, magnets above/below, net pull, whale bids/asks, open interest, long/short split, RSI, TBO trend, hit rate. Combined with read-only annotations, an agent has enough to call it correctly; only update cadence is unaddressed.

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% for the single 'coin' parameter, so the baseline of 3 applies. The description adds only slightly more than the schema by listing extra example tickers and restricting to crypto, but contributes no format or validation detail beyond what the schema already says.

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 states two concrete deliverables: the OwlChart consensus direction and the surrounding liquidation levels ('nearest liquidity magnet above and below, net pull direction'). This clearly differentiates it from data-only siblings like get_liquidations or get_open_interest, though the run-on enumeration is closer to an output inventory than a crisp verb+resource statement. It never names a sibling directly.

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?

Usage is only implied: 'around the current price' and 'Crypto coins only (BTC, ETH, SOL, WLFI ...)' gesture at when it applies, and 'lead with consensus.headline' hints at how to read the result. There is no explicit when-to-use vs get_liquidations/get_open_interest guidance and no exclusions. Adequate but with a clear gap.

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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