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idea-base-mcp-server

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quick_log

Log completed work by creating a task, marking it done, and recording time in one call.

Instructions

Quick workflow for logging completed work: creates a task, marks it done, and logs time in one call. Ideal for recording work that has already been completed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoNotes about what was done during this time (optional, defaults to description if not provided)
titleYesTitle of the completed task
minutesYesNumber of minutes spent on this work
project_idYesThe ID of the project to add the task to
descriptionNoDetailed description of the task (optional)
acceptance_criteriaNoCriteria for task completion (optional)
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. It discloses the three main side effects (creates a task, marks it done, logs time) but does not go deeper into specifics like permission requirements, reversibility, or what happens to optional fields. This is adequate but minimal for a composite operation.

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 two sentences long, front-loaded with the primary purpose, and every word earns its place. It clearly states the composite behavior and the ideal use case without any fluff or repetition.

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?

Given the tool's composite nature and full parameter schema, the description is nearly complete. It explains the main behavior and when to use it. It could add details about return values or prerequisites, but the absence of an output schema and the clarity of the description keep it sufficient. Slightly incomplete because it doesn't mention that the task is created as 'done' (though that is implied by 'marks it done'), but still strong.

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%, so the baseline is 3. The description does not add parameter-level detail beyond what the schema already explains; it only frames the overall purpose. It does not explain how optional fields like notes, description, or acceptance_criteria relate to the composite workflow, but that is not required given full schema coverage.

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 and specifically states what the tool does: 'creates a task, marks it done, and logs time in one call.' This distinguishes it from sibling tools like create_task, update_task_status, and log_time by framing it as a composite workflow for completed work. The verb 'quick workflow for logging completed work' is specific and action-oriented.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear usage context: 'Ideal for recording work that has already been completed.' This implies when to use it (for completed work) and contrasts with the alternative of using separate tools (create_task, log_time, etc.). It does not explicitly name alternatives or say when not to use it, but the context is strong enough.

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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