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LiquidVision — Crypto Derivatives Data

create_alert

Subscribe an HTTPS URL to push alerts instead of polling (Pro: 3, Bot: 20 subscriptions). type='cascade': a liquidation cascade just ended, over min_usd and x_normal times the coin's normal minute. type='hl_near_liq': a Hyperliquid whale position over min_usd within max_dist_pct of its liquidation price. type='cluster_sweep': price reached one of the 10 largest modeled liquidation-map clusters (size over min_usd; no symbol = BTC, ETH, SOL), sent 3 min later with modeled vs actually liquidated USD. Returns the signing secret ONCE: verify header X-LiquidVision-Signature = hex HMAC-SHA256(secret, raw body). Needs a Pro or Bot key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
typeYes
symbolNo
api_keyNo
min_usdNo
x_normalNo
max_dist_pctNo

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 behavioral burden and does so well: it discloses quota limits (Pro: 3, Bot: 20 subscriptions), the auth requirement (Pro or Bot key), and the one-time secret return with the exact HMAC verification header. These are non-obvious traits an agent could not infer otherwise.

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?

Dense but front-loaded, leading with the tool's core action before enumerating alert types. Every clause carries information (thresholds, timing, defaults), though the type enumeration is lengthy.

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 mutation tool with no annotations and no output schema, it covers auth, quotas, subscription limits, and the return secret/verification flow. Minor gaps include the url format beyond 'HTTPS' and the role of api_key, but nothing critical to correct invocation is missing.

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 does: it explains the semantics of type values (cascade, hl_near_liq, cluster_sweep) and the meaning of min_usd, x_normal, max_dist_pct, and symbol. Only url and api_key lack added meaning, but those are largely self-evident.

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 and resource: subscribing an HTTPS URL to push alerts rather than polling. It clearly differentiates itself from sibling tools like list_alerts and delete_alert, which are the read/remove counterparts.

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?

The 'instead of polling' framing gives clear context for why an agent would choose this over repeatedly polling market data, and each type's trigger condition is spelled out. It stops short of explicitly naming alternative tools or stating when not to use it, but the usage context is unambiguous.

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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