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vtimestamp-mcp

vtimestamp-mcp

by vdappdev2
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

vtimestamp_info

Learn how the vtimestamp service verifies document timestamps and lists proofs on the Verus blockchain using public RPC endpoints.

Instructions

Get information about the vtimestamp service — what it is, how it works, and supported features.

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": "vtimestamp_info"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.1

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states this is a read operation ('Get information'), which is helpful, but doesn't cover other traits like authentication needs, rate limits, error handling, or response format. For a tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves.

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, efficient sentence that front-loads the key action ('Get information') and specifies the scope ('vtimestamp service — what it is, how it works, and supported features'). There's no wasted text, making it easy to parse, though it could be slightly more structured for clarity.

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 the tool's simplicity (0 parameters, no output schema, no annotations), the description is adequate as a basic informational tool. It explains the purpose but lacks details on behavioral traits and usage context. Without annotations or output schema, it should ideally provide more on what information is returned or how to interpret results, leaving some gaps.

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 0 parameters with 100% schema description coverage, so no parameter information is needed. The description appropriately doesn't discuss parameters, focusing on the tool's purpose instead. A baseline score of 4 is applied as it compensates well for the lack of parameters by explaining what the tool does.

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 with a specific verb ('Get information') and resource ('vtimestamp service'), explaining it provides details about what the service is, how it works, and its features. However, it doesn't explicitly differentiate from sibling tools like vtimestamp_list or vtimestamp_verify, which likely list or verify timestamps rather than describe the service itself.

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 its siblings (vtimestamp_list, vtimestamp_verify). It implies usage for learning about the service, but lacks explicit context, prerequisites, or alternatives, leaving the agent to infer based on tool names alone.

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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