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info_coin_get_coin_info

Read-onlyIdempotent

Single-target lookup: ticker, name, or contract→rows. Chain fixes address clashes. Filtered lists→search_coins. Boards→get_coin_rankings. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNoMax rows; default 3, max 20.
chainNoChain hint for address disambiguation when query_type=address or auto-detected EVM address; e.g. eth, tron, bsc. Same normalization as search_coins.
queryYesSearch text: symbol, contract address, localized name, etc.
scopeNobasic (default) | detailed | full; with_project/with_tokenomics align with full _source.
fieldsNoField allowlist; empty = all. scope wins when both set.
query_typeNoauto (default) | address | symbol | name | project | gate_symbol | source_id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo
countYes
itemsYes
queryYes
scopeNo
totalYes
query_typeYes
duration_msYes

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint, but the description adds 'Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.' This goes beyond the annotations by specifying data type and the absence of trading/auth features, fully aligning and enriching the behavioral profile.

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?

Single sentence with zero filler. Front-loads the core purpose, then packs routing and safety disclaimers in clean, scannable clauses. Every phrase earns its place.

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?

For a read-only lookup tool with a full output schema and comprehensive annotations, the description covers purpose, sibling routing, edge-case hint (chain), and behavioral boundaries. Nothing essential for correct invocation is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds meaningful insight by explaining that 'Chain fixes address clashes', which clarifies the chain parameter's purpose beyond the schema note. It also implies query flexibility ('ticker, name, or contract'), though most parameter details are left to the well-documented schema. This is a modest but real increment.

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?

Description explicitly states 'Single-target lookup: ticker, name, or contract→rows' – a specific verb, resource, and input types. It also distinguishes itself from siblings by naming search_coins for filtered lists and get_coin_rankings for boards, leaving no ambiguity about scope.

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 explicit routing: 'Filtered lists→search_coins. Boards→get_coin_rankings.' Also clarifies the chain parameter's role for address disambiguation and notes what is not included (no account access, no orders/funds), giving clear when-to-use and when-not-to-use context.

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.