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info_marketsnapshot_batch_market_snapshot

Read-onlyIdempotent

Batch quotes up to 20 symbols; partial misses OK. One symbol→get_market_snapshot. Deep trend→markettrend_get_kline. 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; default USDT; maps to OpenSearch market.
scopeNoResponse scope.
sourceNospot (default)|futures (future)|alpha|fx.
symbolsYesSymbol list, max 20. Missing symbols yield empty rows; the batch still succeeds.
timeframeNoKline: 15m|1h|4h|1d; default 1h.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
itemsYes
quoteNo
scopeNo
totalYes
sourceNo
symbolsNo
not_foundYes
timeframeNo
duration_msYes

TDQS

A4.7/5.0
Behavior5/5

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

Beyond annotations (readOnlyHint, idempotentHint), the description discloses meaningful limitations: 'Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.' It also notes partial misses are OK, which is critical behavioral context for batch calls. No contradictions 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?

The description is compact and front-loaded with the core purpose, followed by targeted routing guidance and necessary safety disclaimers. Every clause earns its place with no filler.

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

Completeness5/5

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

Given the tool's moderate complexity (5 params, 1 required), the presence of an output schema, and reactive annotations, the description fully equips an agent with purpose, usage criteria, alternative routing, and behavioral constraints. Nothing essential is missing.

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% with per-parameter descriptions, so the schema already documents all parameters. The description adds only the max-20-symbol limit (already in the schema) and partial-miss behavior, but doesn't explain each parameter beyond the schema. The baseline of 3 is appropriate since the description adds no significant semantic value over 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 the tool's purpose: 'Batch quotes up to 20 symbols' with partial-miss tolerance. It explicitly names sibling tools and the conditions under which to use them instead, making it unmistakably distinct from get_market_snapshot, markettrend_get_kline, and get_market_overview.

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?

Provides direct routing guidance: 'One symbol→get_market_snapshot. Deep trend→markettrend_get_kline. Breadth→get_market_overview.' This tells an agent exactly when to choose this batch tool versus the alternatives, leaving no ambiguity.

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.