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Desk3 MCP Server

Desk3 MCP Server

Official
by desk3
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_btc_trend

Analyze Bitcoin market trends by retrieving historical data including price, active addresses, new addresses, and transaction addresses over a 3-month period.

Instructions

Get BTC trend chart for the past 3 months. Format: [[date, price, active addresses, new addresses, transaction addresses]]

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_btc_trend"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool returns a chart with specific data points (price, active addresses, etc.) but doesn't mention whether this is a read-only operation, if there are rate limits, authentication requirements, data freshness, or error conditions. The description provides basic output format but lacks critical behavioral context.

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 extremely concise with just two sentences that efficiently convey the core functionality and output format. Every word earns its place - the first sentence states what the tool does, and the second specifies the exact return format. No wasted words or unnecessary elaboration.

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?

Given this is a parameterless tool with no output schema, the description provides the essential information about what data it returns and in what format. However, it lacks important context about data sources, update frequency, timezone considerations for dates, and how this differs from similar tools. For a financial data tool, more completeness would be beneficial.

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 tool has zero parameters (schema coverage 100%), so the baseline score is 4. The description appropriately doesn't discuss parameters since none exist, and it instead focuses on what the tool returns, which is reasonable given the parameterless nature of this tool.

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 the tool's purpose: 'Get BTC trend chart for the past 3 months.' It specifies the resource (BTC trend chart) and timeframe (past 3 months), but doesn't explicitly differentiate from sibling tools like 'get_eth_trend' or 'get_cycle_indicators' beyond mentioning BTC specifically.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'get_eth_trend' for Ethereum data or 'get_cycle_indicators' for broader market analysis, nor does it specify any prerequisites, constraints, or recommended contexts for usage.

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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