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xpay✦ Finance Collection

getCryptocurrencyHistoricalFullChart

Access comprehensive end-of-day (EOD) price data for cryptocurrencies with the Full Historical Cryptocurrency Data API. Analyze long-term price trends, market movements, and trading volumes to inform strategic decisions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNoEnd date (YYYY-MM-DD)
fromNoStart date (YYYY-MM-DD)
symbolYesCryptocurrency symbol (e.g., BTCUSD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It adds useful context about data frequency (EOD) and scope (Full), but lacks details on response format, pagination, rate limits, or coverage limitations. It does not contradict any annotations (none exist), but transparency is only moderate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is two sentences. The first is direct and informative. The second sentence adds value by suggesting use cases ('Analyze long-term price trends...') but is slightly promotional. Overall, it is concise without unnecessary repetition.

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

Completeness3/5

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

The description is adequate for a basic understanding, but the tool belongs to a large family of similar crypto/forex chart tools. It does not clarify the difference between 'Full' and 'Light' historical charts, nor does it specify the data range or return structure. Given no output schema and no annotations, more context would be beneficial.

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 input schema provides full coverage (100%) with descriptions for all three parameters (symbol, from, to). The description does not add additional parameter-level semantics, but per the rubric, baseline 3 applies when schema coverage is high.

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 accesses comprehensive end-of-day (EOD) price data for cryptocurrencies, using a specific verb ('access') and resource. It distinguishes from siblings like getCryptocurrencyHistoricalLightChart by emphasizing 'Full' and 'EOD', and from intraday variants by implying long-term trends.

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

Usage Guidelines3/5

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

The description implies usage for long-term analysis ('Analyze long-term price trends') but does not explicitly state when to use this tool over alternatives, nor does it mention any exclusions (e.g., for intraday data). No sibling tools are named as alternatives, so guidance is only implicit.

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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