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stablecoin_flows

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. Stablecoin mints and burns per chain and coin over a window: counts, total dollars, large events, and the net of mints minus burns. 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

A4/5.0
Behavior4/5

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

There are no annotations, so the description carries the full behavioral burden. It discloses the access requirement (ChainHelix API key or paid payment options), and the output composition (mints, burns, counts, dollars, large events, net). While it does not explicitly state read-only, the data-query framing is clear enough.

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 text is appropriately sized and makes every sentence count, but it is not front-loaded: the access/payment details lead, pushing the actual tool purpose to the second sentence. The core function would be better served if stated first.

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 an analytics query with an output schema present, this is reasonably complete: it covers parameters, defaults, access, and output semantics. It omits response-level detail like pagination or error conditions, but those are lesser gaps given the output schema.

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%, but the description compensates well: 'window in hours' and default/max are given, and 'Omit chain for all' explains the optional behavior of the chain parameter. The parameter values are clear even without additional schema descriptions.

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 that the tool reports stablecoin mints and burns per chain and coin, listing specific outputs (counts, total dollars, large events, net). The resource and action are unmistakable, and the stablecoin focus differentiates it from related siblings like bridge_flows or whale_flows.

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

Usage Guidelines3/5

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

It gives operational guidance ('window in hours, default 24, max 720', 'Omit chain for all'), which helps an agent understand how to parameterize a call. However, it does not explicitly mention when to prefer this tool over sibling alternatives or what scenarios are not appropriate.

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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