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LiquidVision — Crypto Derivatives Data

get_open_interest

Latest open interest (contracts and USD) per exchange/symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

There are no annotations, so the description carries the behavioral burden. It discloses that the output is the latest OI denominated in contracts and USD and organized by exchange/symbol, but it does not mention data coverage, update cadence, or that this is a read-only global snapshot. These omissions are minor given zero parameters, but they keep this at a middling score.

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?

One hyphenated phrase and no filler; every word contributes either the metric name, units, or granularity. The description is front-loaded and appropriately sized for the tool's simplicity.

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?

For a parameterless tool with an output schema, the description is nearly complete: it specifies what data is returned and in what units. It could add a note that no filters are applied and a pointer to get_open_interest_history for time series, but that is more of a usage-guideline enhancement than a completeness blocker.

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 input schema has zero parameters, so there is nothing for the description to explain. The description's mention of exchange/symbol granularity is consistent with a no-argument global query, giving the baseline of 4.

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 identifies the resource (open interest), the units (contracts and USD), and the granularity (per exchange/symbol), so an agent can tell it is a market-data query. 'Latest' hints at the snapshot nature, though it does not explicitly differentiate from sibling get_open_interest_history.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to choose this over get_open_interest_history, get_oi_board, or other OI tools. The 'latest' qualifier implies a current snapshot, but the description does not state exclusions or alternatives.

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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