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info_marketdetail_get_kline

Read-onlyIdempotent

Exchange pair or contract candles, including fine intervals such as 1m or 5s; needs Gate base URL. Trend-index OHLCV or indicator bundle→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
extraNoPassthrough e.g. interval overrides.
limitNoMax candles; default 100, max 400; without range = latest N desc.
settleNofutures/delivery settlement; default usdt.
symbolYesPair or contract.
end_timeNoEnd Unix seconds.
timeframeYesCandle interval e.g. 1s, 1m, 5m.
start_timeNoStart Unix seconds; with end_time for range; omit = last limit candles desc.
market_typeNospot (default)|futures|delivery|options

Output Schema

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

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint, covering safety. The description adds value by specifying a prerequisite ('needs Gate base URL') and reinforcing that it is read-only public research data with no trading capabilities. It adds context beyond annotations without 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?

Three sentences, all informative: main purpose, alternative tool, and safety/usage constraints. No filler, and the most important information is front-loaded. Every sentence earns its place.

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?

With an output schema present and 100% parameter coverage, the description covers the core essentials: what it does, when to use it, prerequisites, and safety. Nothing critical is missing for an agent to decide and execute a call, though it doesn't mention rate limits or custom return handling, which are minor given the structured schema.

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 coverage is 100%, so the schema fully documents all parameters. The description's mention of 'fine intervals such as 1m or 5s' duplicates the schema's timeframe examples and doesn't add new meaning. It does not compensate for any gaps because none exist, but it also doesn't add extra value beyond the schema.

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 a specific verb-resource: 'Exchange pair or contract candles', and specifies fine intervals (1m, 5s). It explicitly differentiates from the sibling tool: 'Trend-index OHLCV or indicator bundle→markettrend_get_kline', so an agent knows exactly what this tool returns and how it differs from similar tools.

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 gives explicit when-to-use and when-not-to-use guidance: 'Trend-index OHLCV or indicator bundle→markettrend_get_kline' directs to an alternative for different data needs. It also states non-usage: 'No account access, no order placement or fund transfers', clarifying it is for public research only.

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.