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Crypto market context

get_crypto_context
Read-onlyIdempotent

Crypto market context for a technical read: BTC/ETH dominance and total/alt market cap, Fear & Greed sentiment, perp funding rate & open interest (positioning/leverage), and the Stablecoin Supply Ratio (dry powder). Use ONLY when analysing crypto assets (BTC, ETH, crypto ETFs). Background context, not the primary signal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
sourcesNo
etf_flowsNo
liquidityNo
sentimentNo
positioningNo
market_structureNo

TDQS

A4.5/5.0
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 useful context about the data content and its role, without contradicting 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?

Two dense sentences, front-loaded with purpose ('Crypto market context for a technical read') and followed by precise data points and scoping. No filler or repetition.

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?

With an empty input schema and an output schema present, the description adequately covers the data categories and usage scope. It provides sufficient context for an agent to select and invoke the tool correctly.

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?

The input schema has zero parameters, so there is nothing to document. The baseline for no parameters is 4, and the description does not need to add parameter-level semantics.

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 provides crypto market context with a specific list of metrics (dominance, sentiment, funding, open interest, stablecoin supply). It distinguishes itself from siblings by explicitly scoping to crypto assets only, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit when-to-use guidance ('Use ONLY when analysing crypto assets') and notes its role as background context, not a primary signal. It does not name alternative sibling tools, but the boundaries are clear.

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

A4.2/5.0
Disambiguation5/5

Each tool maps to a distinct data category or function (prices, indicators, levels, sentiment, macro, crypto, intermarket, breadth, news, etc.). The few related tools are clearly separated by current vs. historical data, specific ratios vs. multi-lens overviews, or news lookup vs. news search.

Naming Consistency4/5

The majority of tools follow a consistent get_<noun> pattern with snake_case (e.g., get_price_history, get_technical_indicators). Two news tools use a public_ prefix instead, creating a minor but visible inconsistency.

Tool Count5/5

15 tools is within the ideal range for a market-data server and each tool covers a meaningful slice of the domain without redundancy. The count feels well-scoped for the server's purpose.

Completeness4/5

The tool surface is impressively broad, covering prices, indicators, sentiment, macro, crypto, intermarket analysis, news, and methodology. However, common data types like fundamentals (P/E, balance sheets) and options chains are absent, leaving a few potential user questions unanswered.

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