Liquidations (24h)
get_liquidationsRecent real liquidation events aggregated from eight exchanges.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | No |
get_liquidationsRecent real liquidation events aggregated from eight exchanges.
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuine context beyond that: the data is real (not simulated) and is aggregated across eight exchanges, which hints at source breadth. It stops there, saying nothing about update cadence, pagination, or how 'recent' relates to the 24h window in the title.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler or repetition. Size is proportional to a one-parameter read-only tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description carries some burden for explaining what comes back — the fields, units (USD notional?), and ordering of liquidation events are unstated. The time window is also inconsistent: the title says 24h but the description only says 'recent.' For a simple market-data tool this is workable but leaves real gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'symbol' has 0% schema description coverage, so the schema contributes nothing and the description must compensate — it does not mention symbol at all. An agent cannot tell from either source whether symbol is a filter, a required market identifier, or what format it takes, nor what the default (unfiltered) behavior is when it is omitted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific resource and scope: 'recent real liquidation events aggregated from eight exchanges.' The verb is implicit in the noun phrase (this returns events), but the term 'real' usefully signals these are actual market events rather than the computed results of the sibling calc_liquidation. It is clear enough to select the tool, though it never explicitly contrasts itself with calc_liquidation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit when-to-use guidance, no conditions or exclusions, and no named alternative. An agent must infer from the word 'real' that this is for actual liquidation data and calc_liquidation is for hypotheticals. That inference is left entirely to the reader.
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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