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dversum

dVersum MCP Server

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by dversum

get_time_stats

Retrieve time tracking statistics such as total hours and billable hours, with filters for date range and project. Helps you analyze work time.

Instructions

Get time tracking statistics (total hours, billable hours, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoTo date (YYYY-MM-DD)
project_idNoFilter by project UUID
start_dateNoFrom date (YYYY-MM-DD)
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 only says 'get' which implies read-only, but it does not explain aggregation behavior, date range handling, project filtering effects, or the response format.

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 is front-loaded with the primary purpose. It is concise and free of filler, though it sacrifices useful detail for brevity.

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?

With no output schema and no annotations, the description needs to explain what statistics are returned and how the filters affect them. It does neither, and the existence of a sibling 'get_project_time_stats' suggests the scope (global vs project) is ambiguous.

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 covers 100% of the parameters with descriptions, so the baseline is 3. The description does not add any extra meaning about the parameters themselves, only listing example statistics returned.

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 retrieves time tracking statistics (total hours, billable hours, etc.), which is a specific verb+resource. However, it does not distinguish from the sibling tool 'get_project_time_stats', which is likely similar but project-scoped.

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 gives no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or differences from related tools like 'get_project_time_stats' or 'list_time_entries'.

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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