RustChain + BoTTube MCP Server

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Green Tracker

green_tracker

Lists vintage and exotic machines preserved from e-waste by RustChain's Proof-of-Antiquity network, showing how they earn RTC tokens for continued operation.

Instructions

Get the fleet of preserved machines from the RustChain green tracker.

Returns the list of vintage and exotic machines preserved from e-waste by the RustChain Proof-of-Antiquity network. These machines earn RTC tokens for running, incentivizing preservation over disposal.

Data sourced from https://rustchain.org/preserved.html

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": "green_tracker"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

Addedv0.4.0Sep 22, 2026

TDQS

A3.6/5.0

Behavior3/5

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

With no annotations, the description carries the full burden and does convey a read-only intent through 'Get' and 'Returns,' which is reasonably clear. It also adds context about the external data source. However, it does not disclose caveats such as data freshness, rate limits, or whether results are cached.

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 brief and front-loaded, starting with the core action in the first sentence. Each following sentence adds relevant context, including the purpose of the preserved machines and the data source, with no wasted words.

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?

For a read-only, parameterless tool with an output schema available, the description is complete enough for an agent to understand what it will receive and where the data comes from. Nothing essential is missing for invoking it 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 tool has zero parameters and the schema already covers everything at 100% coverage, so the baseline is 4. The description adds appropriate context about what the returned data represents, but no parameter detail is needed.

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 identifies the verb (Get) and resource (fleet of preserved machines from the RustChain green tracker) and explains what is returned: the list of vintage and exotic machines. It does not explicitly contrast itself against sibling tools like rustchain_stats, so it falls short of full sibling differentiation.

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?

No guidance is provided about when to use this tool instead of the many sibling tools, such as rustchain_stats, rustchain_balance, or network_health. The description explains what the tool returns but not when the agent should select it over alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.