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ZTMP0010

Redmineflux MCP Server

by ZTMP0010

redmineflux_core_log_time

Track time spent on Redmine issues by logging hours, activity type, comments, and date against a specific issue ID.

Instructions

Log time against an issue.

Args: issue_id: The issue to log time against. hours: Hours spent (e.g. 1.5). activity_id: Time entry activity ID (use list_time_entry_activities to find IDs). comments: Description of work done. spent_on: Date in YYYY-MM-DD format (empty = today).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoursYes
commentsNo
issue_idYes
spent_onNo
activity_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only explains parameters and the basic action, but does not disclose side effects (e.g., how it affects project stats), permissions needed, or the response format. As a mutation tool, this is insufficient.

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 opens with a clear one-sentence purpose and follows with a structured Args list. Each line adds meaningful information with no redundancy.

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?

For a simple logging tool, it covers all parameter semantics and formats. It omits side effects and prerequisites, but an output schema exists, so return value details are not needed. Adequate though not exhaustive.

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

Parameters5/5

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

Schema coverage is 0%, but the Args section explains all 5 parameters with examples and format details (e.g., '1.5' for hours, 'YYYY-MM-DD' for spent_on), fully compensating for the schema's lack of descriptions.

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 'Log time against an issue' with a specific action verb and resource, distinguishing it from sibling tools like list_time_entries and update_issue.

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?

It provides a useful pointer to list_time_entry_activities for finding activity IDs, but does not explicitly state when to use this tool versus alternatives or mention any exclusions or prerequisites.

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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