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Alchemy MCP Server

Alchemy MCP Server

Official
by alchemyplatform
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Remote

fetchTokenPriceHistoryBySymbol

Query historical token prices by symbol within a date range, choosing interval granularity (e.g., daily, hourly).

Instructions

Get historical token price data over a date range with configurable interval

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "symbol": "<symbol>",
      "startTime": "<startTime>",
      "endTime": "<endTime>",
      "interval": "<interval>"
    },
    "name": "fetchTokenPriceHistoryBySymbol"
  }
}

Input Schema

NameRequiredDescriptionDefault
symbolYesThe token symbol to query. e.g. "BTC" or "ETH"
startTimeYesThe start time date to query. e.g. "2021-01-01"
endTimeYesThe end time date to query. e.g. "2021-01-01"
intervalYesThe interval to query. e.g. "1d" or "1h"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are present, and the description does not disclose behavioral traits such as rate limits, data source, accuracy, or error handling. The agent is left uninformed about what happens on failure or how data is returned.

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 a single, concise sentence that front-loads the key action. It is efficient with no wasted words, though it may benefit from a second sentence for clarity.

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

Completeness2/5

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

Given the tool has 4 required parameters, no output schema, and no annotations, the description is too sparse. It does not explain the return format, sorting, pagination, or any constraints on parameters like date ranges, leaving the agent with significant uncertainty.

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 description coverage is 100%, so the description adds no extra meaning beyond the schema. It does not clarify interval format or date constraints, but the schema itself is sufficient.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves historical token price data with date range and interval options. However, it does not explicitly differentiate from the sibling tool fetchTokenPriceHistoryByTimeFrame, which may serve a similar purpose.

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 obtaining historical prices but provides no explicit guidance on when to use this vs. alternatives like fetchTokenPriceBySymbol or fetchTokenPriceHistoryByTimeFrame. No prerequisites or exclusions are mentioned.

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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