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Otto Data — Robinhood Chain

gap_trade_signals

Read-onlyIdempotent

Deterministic signals for the gap-trader strategy: per Hood ticker the overnight gap it currently carries (bps), a signal (long_at_open | avoid_or_reduce | none), 14-day gap statistics, the hit rate of pre-open gap direction vs open direction (hit_rate_14d) and risk flags (oracle_paused, stale, low_liquidity, earnings_within_48h). Signals are NOT orders — sizing and approval belong to the user. The most informative window is pre-open 09:15-09:29 ET; signals are suppressed while the market is open (session=regular).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
min_abs_bpsNo

TDQS

A4.3/5.0
Behavior5/5

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

Beyond annotations (readOnly, idempotent, non-destructive), the description adds key behaviors: determinism, non-execution, suppression during regular session, and the pre-open window. This provides substantial context for what the tool does and its temporal constraints, with no contradiction.

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 compact, front-loaded with the core purpose, and each clause adds distinct information. It lists outputs, clarifies non-execution, and provides timing guidance without unnecessary filler.

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?

The description enumerates many output fields and behavioral constraints, which is good given no output schema. However, parameter semantics for days and min_abs_bps remain under-specified, so the description is not fully complete for the two parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must explain parameters. It mentions bps and 14-day statistics, but does not explicitly state that 'days' controls the lookback period or that 'min_abs_bps' sets a signal threshold. This leaves the meaning of the two parameters ambiguous.

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 states the tool provides deterministic signals for the gap-trader strategy, enumerating outputs (overnight gap, signal type, 14-day stats, hit rate, risk flags). It distinguishes from sibling tools by emphasizing that signals are NOT orders and by noting suppression during regular market hours.

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 specifies the most informative window (pre-open 09:15-09:29 ET) and that signals are suppressed during regular hours, giving clear timing context. It also states signals are not orders, guiding users not to expect execution. No explicit alternative tools are named, but the context sufficiently implies when to use.

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
Disambiguation4/5

Most tools have clearly distinct purposes, with detailed descriptions that separate e.g. hood_basis_snapshot from hood_basis_history and perp_spot_basis. A few clusters like flow_summary vs token_flows and multiple gap/basis tools could still cause slight ambiguity, but the descriptions are strong enough to guide correct selection.

Naming Consistency5/5

All tool names follow a consistent snake_case pattern with domain prefixes (hood_, agent_, competition_, partner_), and verbs are used predictably (report_, execute_, get_, etc.). There is no mixing of conventions or vague generic names.

Tool Count3/5

39 tools is on the high side, but the server covers a very broad domain (market data, signals, trading execution, competition, partner APIs, agent reporting). While many tools earn their place, a few could be consolidated (e.g., gap/basis variants), making it feel heavier than necessary for typical usage.

Completeness4/5

The surface covers the core lifecycle: market data, signals, paper/real/partner trading, position tracking, and performance reporting. Minor gaps exist (e.g., no explicit wallet balance or order cancellation), but the core workflows are well-covered and derived endpoints fill most needs.

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