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liquidations

Requires a ChainHelix API key as bearer token, or 2 cents per call paid over Binance b402 in USDT, USDC, USD1 or U on BNB Smart Chain, or over x402 in USDC on the Base network. Lending liquidations per chain, protocol and direction over a window: event count, borrowers and liquidators, debt covered and collateral liquidated. window in hours, default 24, max 720. Omit chain for all

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
windowNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does surface that a ChainHelix API key/bearer token is required and that each call has a cost, which is useful context. However, it does not describe rate limits, error behavior, empty responses, or pagination, leaving the behavioral picture incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The content is dense and mostly high-signal, but it opens with the auth/payment block rather than stating what the tool does. A front-loaded description starting with 'Get lending liquidations...' would make tool selection much easier.

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?

Given two optional params and an output schema, the description covers the required essentials: purpose, filter semantics, defaults, auth, and cost. It does not cover edge-case behavior explicitly, but for a simple query-style tool this is reasonably complete.

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 coverage is 0%, so the description must compensate, and it does meaningfully: it explains window as hours, gives the default and maximum values, and clarifies that omitting chain returns all chains. The chain enum still supplies the allowed values, but the description adds practical parameter semantics the bare schema lacks.

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 clearly identifies the resource as lending liquidations and enumerates the returned dimensions: event count, borrowers and liquidators, debt covered, and collateral liquidated. It lacks an explicit verb like 'fetch' or 'get' and does not explicitly distinguish itself from sibling tools, but the resource and metrics are specific enough.

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?

It gives concrete invocation guidance: window is measured in hours, defaults to 24, has a maximum of 720, and chain can be omitted to query all chains. It does not explicitly discuss when not to use this tool or mention alternatives, but the call behavior is clear.

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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TDQS

A3.5/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some overlap exists among report tools (situation_report, deep_report, market_state) and spec tools (attest_spec, proof_spec). These could confuse an agent selecting the most appropriate endpoint.

Naming Consistency4/5

Tool names use consistent snake_case and are descriptive, but follow mixed patterns: verb_noun for actions (buy_key, list_attestations) and bare nouns or noun phrases for data endpoints (prices, congestion, wall_map). This is readable but not fully uniform.

Tool Count3/5

With 26 tools, the set is heavy and covers multiple domains (attestation, market data, key management, webhooks). It sits just above the borderline for comfort, but the breadth is justifiable given the server's multi-purpose nature.

Completeness5/5

The tool surface provides full lifecycle coverage for attestation (create, read, verify), key management (buy, claim, status), and webhooks (register, status, unregister), plus a wide range of market data endpoints. There are no obvious gaps or dead ends.

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