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eliasfire617

Crypto Market Data MCP Server

get_liquidations

Retrieve recent public liquidations for a perpetual futures symbol on supported exchanges to monitor forced liquidations and gauge market volatility.

Instructions

Recent public liquidations for a perp symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesPerp symbol, e.g. 'BTC/USDT:USDT'.
exchangeNoExchange id (default 'gate'). Support is limited — see get_capabilities.gate
limitNoNumber of records (default 20, max 100).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It only says 'Recent public liquidations' but does not clarify recency, rate limits, pagination, or whether it applies to all symbols. This is minimal transparency.

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 a single, concise sentence that is front-loaded and easy to parse. However, it could be slightly more structured (e.g., adding an example or clarifying 'recent'), but overall it is efficient.

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

Completeness2/5

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

Given the lack of annotations and the presence of an output schema, the description still feels incomplete. It does not explain what 'recent' means, how liquidations are returned, or any limitations, which is insufficient for an agent to reliably select and invoke the tool.

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%, so the input schema already documents each parameter adequately. The description adds no additional semantic value beyond what the schema provides, justifying the baseline score.

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 public liquidations for a perp symbol,' specifying the verb (implicit get), resource (liquidations), and scope (perp symbol). This distinguishes it from sibling tools like get_recent_trades or get_open_interest.

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?

The description does not provide any guidance on when to use this tool versus alternatives, nor does it mention prerequisites or exclusions. It simply states what it does, leaving the agent to infer usage from context.

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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