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VeChain-AI-Terminal

VeChain AI Terminal MCP Server

bridge_get_token_pairs_hash

Retrieves a hash of token pair data to detect changes for caching optimization.

Instructions

Get hash of token pairs data to check if it changed (for caching optimization)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description fully carries the burden of behavioral disclosure. It states what the tool returns (a hash) and its purpose, which is sufficient for a simple stateless operation. No hidden side effects or additional behavior is expected beyond computing a hash.

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 a single, front-loaded sentence that is both concise and informative. It contains no filler or redundant details, earning a perfect score for conciseness.

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 simplicity (no parameters, no output schema), the description is nearly complete. It explains what the tool does and why it exists. The only minor omission is a specific format for the returned hash, but that is not critical for understanding or using the 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 input schema is empty (zero parameters), so schema coverage is 100%. The description doesn't need to explain parameters, and the baseline for a zero-parameter tool is 4. It correctly avoids adding redundant parameter information.

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's function: 'Get hash of token pairs data to check if it changed (for caching optimization)'. It specifies the resource (token pairs data), the action (get hash), and the purpose (change detection), which distinguishes it from the sibling tool bridge_get_token_pairs that likely returns the full data.

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

Usage Guidelines4/5

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

The description explicitly mentions the intended use case: 'for caching optimization' and checking if data changed. While it doesn't name alternative tools or provide when-not-to-use guidance, the purpose is clear enough for an agent to infer when to call this tool versus fetching the full token pairs list.

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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