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VeChain-AI-Terminal

VeChain AI Terminal MCP Server

vechainstats_get_network_emissions

Obtain total network carbon emissions data to verify VeChain's carbon-neutral status.

Instructions

Get total network carbon emissions - VeChain is carbon-neutral!

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the transparency burden. 'VeChain is carbon-neutral!' adds a meaningful behavioral hint (likely returns zero or a neutrality status), but it does not disclose the output format, units, or data source. This is adequate for a simple read-only getter but not rich.

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 one short, front-loaded sentence that delivers the core purpose and adds a relevant context note. There is zero wasted content, and the structure is ideal for a simple getter.

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

Completeness4/5

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

Given the tool's minimal complexity (no parameters, no output schema), the description is sufficiently complete. It states what the tool does and adds a key behavioral fact about the network's carbon-neutral status. It does not explain the return value, but this is low importance for such a simple tool.

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, so parameter semantics are inherently simple. The schema is empty and requires no explanation. Even though the description does not discuss parameters, the baseline for zero-parameter tools is 4, and there is nothing to add.

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 states a specific action ('Get total network carbon emissions') and clearly identifies the resource (network emissions). The scope 'total network' distinguishes it from sibling tools like vechainstats_get_address_emissions and vechainstats_get_transaction_emissions, which focus on different scopes.

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?

Usage is implied: if you need overall network emissions, this is the tool. However, there is no explicit guidance on when to prefer it over the address/transaction emissions siblings or any caveats about the tool's output. It is a simple no-parameter getter, making detailed guidance less critical.

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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