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info_markettrend_get_kline

Read-onlyIdempotent

Trend-index OHLCV for symbols, with optional indicator bundle. Exchange pair or contract candles, or fine intervals→marketdetail_get_kline. Columns→get_indicator_history. Chart-label snapshot→get_technical_analysis. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoRow count; alias of limit; default 100, max 400.
limitNoRow count; default 100, max 400; alternative to size.
periodNoWindow: 1h|4h|24h|7d|3d|5d|10d; default 24h. Ignored when start/end set.
symbolYesSymbol e.g. BTC, ETH.
end_timeNoAbsolute end.
timeframeYesCandle interval: 1m|5m|15m|1h|4h|1d.
start_timeNoAbsolute start: ms timestamp or ISO8601; wins over period when paired with end.
with_indicatorsNoIf true, include technical columns in _source; default OHLCV only.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeYes
countYes
itemsYes
totalYes
periodYes
symbolYes
timeframeYes
duration_msYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint, so the description adds value by stating 'no account access, no order placement or fund transfers' and 'not investment advice.' This reinforces the read-only nature and provides user-facing context beyond 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.

Conciseness4/5

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

The description is compact and front-loaded with the core purpose (trend-index OHLCV). It uses concise routing notes and safety disclaimers without redundancy. A few segments could be merged, but overall it's efficient and structured logically.

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 an 8-parameter tool with a rich output schema, the description covers purpose, routing, and safety. It doesn't describe the output format or pagination, but the output schema exists, so this is not a gap. The description is sufficient for an agent to understand when and how to call it.

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 baseline is 3. The description adds minimal new meaning beyond the schema—it mentions 'optional indicator bundle' which maps to with_indicators, but doesn't clarify other parameters like start_time/end_time or size/limit. It does not need to repeat schema details, so this 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?

Clearly states the tool returns trend-index OHLCV for symbols with an optional indicator bundle. Distinguishes from siblings by naming specific alternatives: marketdetail_get_kline for fine intervals, get_indicator_history for columns, and get_technical_analysis for chart-label snapshots.

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?

Explicitly routes to alternatives based on use case: fine intervals to marketdetail_get_kline, column-specific needs to get_indicator_history, and chart-label snapshots to get_technical_analysis. Also clarifies this is for trend-index data and adds a read-only safety note.

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.