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info_marketdetail_get_orderbook

Read-onlyIdempotent

Order book depth: bids/asks ladder from Gate; needs base URL. Trade tape→get_recent_trades. Trend-index bars→markettrend_get_kline. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoOrder book depth; default 20, max 100.
extraNoExtra Gate API params merged into request.
settleNoSettlement for futures/delivery; default usdt; omit for options.
symbolYesPair e.g. BTC_USDT.
market_typeNospot (default)|futures|delivery|options.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
depthYes
itemsYes
totalYes
settleNo
symbolYesEcho input. Item timestamps are UTC (+00:00); convert for local display.
cex_toolYes
duration_msYes
market_typeYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds value beyond these by noting 'needs base URL' (a practical requirement) and reinforcing safety with 'No account access, no order placement or fund transfers'. It also disclaims investment advice. No contradiction with annotations.

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

Conciseness4/5

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

The description is concise, front-loading the purpose, then alternatives, then disclaimers. It is slightly longer than strictly necessary due to safety disclaimers, but each sentence earns its place. It avoids redundancy with the schema.

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 a 5-parameter tool with a full output schema and comprehensive annotations, the description covers the core purpose, usage routing, a key prerequisite (base URL), and safety profile. It does not describe return values, but that is handled by the output schema. Remaining gaps are minor.

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?

Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description does not add per-parameter details beyond mentioning the base URL requirement, which is not a parameter. Per the rubric, a baseline of 3 is appropriate when the schema carries the semantic load.

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 explicitly states the tool retrieves 'Order book depth: bids/asks ladder from Gate', naming the specific resource (Gate order book) and the verb (get depth). It distinguishes from siblings by referencing trade tape (get_recent_trades) and trend-index bars (markettrend_get_kline), making its unique purpose clear.

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

Usage Guidelines5/5

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

It provides explicit guidance on when to use this tool versus alternatives: 'Trade tape→get_recent_trades' and 'Trend-index bars→markettrend_get_kline'. It also mentions the prerequisite 'needs base URL', giving concrete context for invocation. This is direct and actionable.

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

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct data object and action (e.g., coin info vs rankings, market snapshot vs batch, marketdetail kline vs markettrend kline), with prefixes and descriptions clearly separated by domain. No two tools appear to serve the same purpose.

Naming Consistency5/5

All tools follow a consistent pattern: info_<domain>_<verb>_<object>, with verbs mainly get, search, and batch. The naming style is uniform across all 32 tools, making it easy to infer tool purpose from its name.

Tool Count3/5

32 tools is heavy compared to typical servers, and it exceeds the 25-tool threshold. However, the server is a comprehensive crypto data aggregator covering multiple subdomains (coin, macro, market, onchain, platform metrics), which justifies the large count to some extent. It sits at the borderline between borderline and too many.

Completeness5/5

The tool surface covers the full lifecycle for read-only research: coin discovery, rankings, search, technical analysis, onchain exploration, platform metrics, stablecoins, yield pools, bridges, and macro indicators. No critical missing functionality for the stated purpose of public research data access.