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dVersum MCP Server

dVersum MCP Server

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by dversum
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

send_reminder_email

Send payment reminder emails to clients, with options to customize recipient, subject, and message for personalized follow-ups.

Instructions

Send a payment reminder via email.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

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

Input Schema

NameRequiredDescriptionDefault
idYesThe reminder UUID
toNoOverride recipient email
messageNoCustom email body
subjectNoCustom email subject

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.9/5.0
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 only says 'send via email,' which implies an external side effect, but does not mention potential consequences like marking the reminder as sent, permission requirements, or whether the operation is reversible. This is a significant gap for an action-oriented tool.

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 sentence with no fluff or redundant information. It is appropriately front-loaded with the core function, making it highly concise and easy to parse.

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

Completeness2/5

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

The tool has 4 parameters, no output schema, and no annotations. The description only covers the basic action, leaving out important context such as what triggers a payment reminder, how overrides are used, and what the expected return value or confirmation is. This is under-specified for an AI agent to invoke confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, with each parameter having a clear description (e.g., 'id' is the reminder UUID, 'to' overrides recipient email). The tool description adds no further semantic detail beyond the schema, so the baseline score of 3 is appropriate.

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 sends a payment reminder via email, specifying the verb (send), resource (payment reminder), and medium (email). It is distinguishable from sibling tools like send_invoice_email or send_quote_email by the reminder resource, though it does not explicitly differentiate 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 alternatives, no prerequisites, and no context about the reminder lifecycle. It only states the action without any situational advice.

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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