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info_platformmetrics_get_platform_info

Read-onlyIdempotent

One-shot protocol profile by name and scope. scope=full adds competition_metrics{} for CEX venues (spot/derivs/depth/OI core+extended/PoR). Set include_oi_symbol_detail=true with oi_symbol_limit (1-100, default 20) for top-N OI breakdown. Ranked multi-protocol list→search_platforms. Daily time series→get_platform_history. Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNobasic (default)|with_chain_breakdown (adds tvl_by_chain, volume_by_chain)|full (adds history_30d, top_pools, competition_metrics).
platform_nameYesProtocol or platform name.
oi_symbol_limitNoEffective only when include_oi_symbol_detail=true. Default 20, range 1-100; >100 returns invalid_param.
include_oi_symbol_detailNoscope=full only. true returns competition_metrics.oi_symbol_detail[] sorted by OI USD desc; default false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
itemsYes
scopeYes
totalYes
duration_msYes
platform_nameYes

TDQS

A5/5.0
Behavior5/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds meaningful context: 'Read-only public research data. No account access, no order placement or fund transfers. Not investment advice.' This goes beyond the annotations by specifying the nature of data access and safety boundaries. 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?

The description is compact yet information-dense. It leads with purpose, then explains scope, parameter interplay, alternatives, and safety—all in a few sentences with zero fluff. Perfectly front-loaded and well-structured.

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 an output schema exists, the description need not spell out return values. It covers usage, parameter interactions, alternatives, and safety constraints thoroughly. For a tool with 4 parameters and scope options, this is complete and self-sufficient.

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

Parameters5/5

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

Schema coverage is 100%, but the description adds valuable semantics beyond the schema. It explains what scope=full truly adds: 'competition_metrics{} for CEX venues (spot/derivs/depth/OI core+extended/PoR)' and clarifies the purpose of oi_symbol_limit: 'for top-N OI breakdown'. This enriches parameter understanding beyond the schema descriptions.

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 states the exact purpose: 'One-shot protocol profile by name and scope.' It clearly distinguishes from siblings by naming the alternatives: 'Ranked multi-protocol list→search_platforms. Daily time series→get_platform_history.' This leaves no doubt about what the tool does and what it doesn't.

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 provides usage context and alternatives with conditions: 'Ranked multi-protocol list→search_platforms. Daily time series→get_platform_history.' It also clarifies scope behavior and parameter prerequisites. The description tells the agent when to use this tool (single profile) and when to use others, with clear routing.

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.