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dVersum MCP Server

dVersum MCP Server

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by dversum
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TypeScript
Hybrid

get_project_time_stats

Retrieve time tracking statistics for a specific project by supplying its UUID. Access logged hours and time data to monitor project performance.

Instructions

Get time tracking statistics for a specific project.

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": "get_project_time_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault
idYesThe project UUID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. The phrase 'Get time tracking statistics' indicates a read-only operation, but it does not disclose what specific statistics are returned, whether any filtering applies, or if special permissions are required. For a simple query tool, this is adequate but not rich in behavioral detail.

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, concise sentence that directly states the tool's purpose without unnecessary words or filler. It is perfectly sized for the simplicity of the operation.

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?

With just one parameter and no output schema, the description is minimal but sufficient for basic understanding. However, it omits details about the nature of the statistics (e.g., total hours, billable hours), which would be valuable given the absence of an output schema. It is not incomplete enough to cause misuse, but it leaves room for more context.

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?

The schema description coverage is 100% with the only parameter 'id' described as 'The project UUID'. The description reiterates the project focus but adds no additional semantic meaning beyond the schema, so the baseline of 3 is appropriate.

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 uses the specific verb 'Get' with resource 'time tracking statistics for a specific project', clearly distinguishing it from sibling tools like get_time_stats (global stats) and list_time_entries (raw entries). It states exactly what the tool does without ambiguity.

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?

The description implies usage when a user needs time statistics for one project, but it does not explicitly contrast with alternatives such as get_time_stats for global statistics or list_time_entries for detailed logs. There is no explicit when-to-use or when-not-to-use guidance, so the usage context is only implied.

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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