Skip to main content
Glama

info_marketsnapshot_get_market_snapshot

Read-onlyIdempotent

One-symbol: price, kline clip, project. Trend→markettrend_get_kline. Gate→marketdetail_get_kline. Many→batch_market_snapshot. Breadth→get_market_overview. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
quoteNoQuote currency mapped to OpenSearch market; default USDT.
scopeNobasic (default, trimmed)|detailed|full.
sourceNoalpha|spot|futures (future)|fx; default spot.
symbolYesSymbol e.g. BTC, ETH, USDC.
timeframeNoKline: 15m|1h|4h|1d; wins over indicator_timeframe when both set; default 1h if both empty.
indicator_timeframeNoAlias of timeframe when timeframe omitted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
klineYes
quoteNo
scopeNo
sourceYes
symbolYes
realtimeYes
timeframeYes
derivativesNo
duration_msYes
market_pulseNo
project_infoYes
institutional_channel_summaryNo

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds value by explicitly stating 'Read-only public research data. No account access, no order placement or fund transfers. Not investment advice,' which reinforces the safety profile and clarifies limitations beyond the annotation booleans. 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.

Conciseness5/5

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

One sentence packs the purpose, usage routing, and safety disclaimer without wasted words. The core scope is front-loaded ('One-symbol'), followed by actionable routing. Every phrase earns its place, making it easy to scan and understand.

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?

Given the tool's moderate complexity (six parameters, one required), the description provides sufficient routing and safety context. An output schema exists, so return format is covered structurally. It could mention default parameter values (e.g., quote default USDT) but the schema already provides that, so completeness is adequate for an agent to call correctly.

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?

The schema describes all six parameters with 100% coverage, so the description carries no burden to explain them. It mentions 'price, kline clip, project' as part of the output, which hints at what the snapshot contains but does not add parameter-specific semantics. Baseline 3 is appropriate given full schema coverage.

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 opens with 'One-symbol: price, kline clip, project,' which clearly identifies the tool as a single-symbol snapshot getter. It also names sibling tools for other use cases (trend, gate, batch, breadth), distinguishing it from alternatives without needing to inspect other schemas. Slightly fragmentary phrasing keeps it from a 5.

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?

Explicit routing guidance is given: 'Trend→markettrend_get_kline. Gate→marketdetail_get_kline. Many→batch_market_snapshot. Breadth→get_market_overview.' This tells the agent exactly when to use this tool versus alternatives. It also notes the read-only research context, which implies when it's appropriate to call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.