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Otto Data — Robinhood Chain

agent_position_book

Read-onlyIdempotent

Server-side derived open position book for a trading agent: every order_filled event without a later matching position_closed on the same ticker counts as open, joined with the live Chainlink price for unrealized P&L (bps and USD). Replaces rebuilding the book from raw agent events. agent: gap-trader | narrative-trader. mode: '' (all) | paper | live | onchain — filter positions by execution mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
agentNogap-trader

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare read-only and idempotent hints; the description adds the event-counting rule, live Chainlink price join, and mode filter semantics. This enriches understanding beyond what annotations alone convey.

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 and front-loaded with the core concept, followed by parameter details. Every sentence contributes meaningful information without redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The derivation logic and P&L inclusion are clearly specified, but with no output schema, the return structure is not described (e.g., whether positions are aggregated, pagination, field list). It is adequate for basic use but not fully complete for complex expectations.

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 by enumerating valid values for both parameters ('agent: gap-trader | narrative-trader', 'mode: '' | paper | live | onchain') and explaining mode's meaning. It does not mention defaults, though the schema provides those.

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 tool as a 'server-side derived open position book' with precise derivation logic, making the resource unambiguous. It distinguishes from 'raw agent events' but does not explicitly compare to sibling tools or use an action verb like 'get' or 'list'.

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 states 'Replaces rebuilding the book from raw agent events,' which implies when to use this tool versus an alternative. The agent and mode filters are listed with allowed values, providing clear context. It does not explicitly state exclusions, but the open-position definition implicitly sets boundaries.

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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