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Per-venue funding matrix

funding_matrix
Read-onlyIdempotent

Per-venue funding rates for one pair with predicted next rate and payout time where the venue provides it. Keyless on any streamed pair. Descriptive market data only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinNoAlias for pair.
pairNoTrading pair, for example ETH/USD. A bare symbol like ETH is read as ETH/USD. Defaults to BTC/USD when omitted. Every streamed pair answers keyless. Rates come back per exchange at that exchange's own interval_h, so magnitudes are not comparable across rows without normalising first.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoOne line saying what the numbers cover, or why there are none. Read it before reporting any zero as a market reading.
pairNoThe pair these rates belong to.
availableNoFalse when this lane could not answer: a producer is dark, the pair sits outside this plan, or the argument named something we do not carry. Absent or true means the numbers are a real reading, not a guess.
per_venueNoOne row per exchange: the exchange name, its current funding rate, its predicted next rate where it publishes one, the next payout time, and interval_h. Rates are per that exchange own interval, so magnitudes are not comparable across rows until they are normalised.
updated_atNoWhen these rates were read.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds valuable context beyond this: keyless access, that rates depend on venue-provided data, and that it is descriptive only. This enriches the behavioral understanding without contradicting the annotations.

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

Conciseness5/5

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

The description is extremely concise: three short sentences that each add distinct information—what the tool provides, access requirements, and data nature. There is no redundancy, and the most important information is front-loaded.

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 the simple nature of the tool, the description covers the core purpose, limitations, and access. An output schema exists (per context signals), so return values are already defined. It could be more explicit about when to use it relative to other market data tools, but it is largely complete for this context.

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?

The input schema has 100% coverage, with the 'pair' parameter description explaining defaults, bare symbol handling, and the non-comparability of rates due to venue-specific intervals. The main description adds little new parameter semantics, so the baseline of 3 is appropriate.

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 identifies the tool as providing per-venue funding rates for a single trading pair, including predicted next rate and payout time where available. This resource is unique among the sibling tools, none of which mention funding rates, so it distinguishes the tool effectively.

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 description gives clear context: the tool is keyless on any streamed pair and is descriptive market data only, implying it is safe to use for read-only information needs. However, it does not explicitly mention when not to use it or name alternative tools, though the unique purpose makes such guidance less critical.

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

A3.6/5.0
Disambiguation3/5

Many tools share the same broad purpose domains, such as market_digest vs market_overview vs market_snapshot and whale_context vs whale_profile vs whale_flow, making selection genuinely ambiguous for an agent. The long descriptions help separate them, but the sheer number of overlapping 'one-call' market and whale views still invites misselection, and whale_tape is a direct duplicate alias.

Naming Consistency4/5

Names are consistently snake_case and mostly follow a clear domain-prefix pattern: market_*, whale_*, hl_*, defi_*. Minor deviations like liquidations vs market_liquidations, liq_zones, my_access, and the deprecated whale_tape keep it from a perfect score, but the overall convention is predictable and readable.

Tool Count2/5

With 30 tools, the server exceeds the reasonable upper bound and feels heavy even for a broad data domain. Many tools could be consolidated—for instance, several one-call market summary tools and multiple whale-flow variants—without losing capability.

Completeness4/5

The tool set covers an impressively wide range of whale and market data: news, liquidations, funding, DEX activity, Hyperliquid wallets, market scans, history, and plan access. There are minor gaps such as no general price/OHLC history or per-wallet trade history beyond swaps and fills, but agents can work around these using the existing surface.

Resources