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sesonet

freelo-mcp-server

Official
by sesonet

Freelo Create Subtask

freelo_create_subtask
Idempotent

Break down complex tasks by creating a subtask under an existing task, organizing smaller work items into manageable pieces.

Instructions

Creates a subtask under an existing task. Subtasks help break down complex tasks into smaller pieces.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdYesParent task ID (e.g., "25368707"). Get from freelo_get_all_tasks.
subtaskDataYesSubtask data

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesSubtask ID
nameYesSubtask name
labelsNo
workerNoUser object
task_idYesParent task ID
date_addNoISO 8601 date-time format (e.g., "2021-10-04T09:32:00+02:00")
due_dateNoISO 8601 date-time format (e.g., "2021-10-04T09:32:00+02:00")
state_idNoState ID: 1=active, 2=finished
due_date_endNoISO 8601 date-time format (e.g., "2021-10-04T09:32:00+02:00")
priority_enumNoPriority: h=high, m=medium, l=low
tracking_usersNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.5.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=true, covering the core safety profile. The description adds the parent-child placement constraint, which is useful, but does not disclose behavior on invalid taskId, whether the parent task must exist, or error conditions. Consistent with annotations.

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?

Two short sentences, front-loaded with the core action and free of repetition. The first sentence earns its place fully; the second adds mild contextual value but is somewhat generic. No wasted words.

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?

For a straightforward create tool with 100% schema coverage, an output schema, and safety annotations, the description is adequate. It lacks explicit preconditions (parent task must exist) and routing guidance among 32 siblings, though the taskId schema description ('Get from freelo_get_all_tasks') partially compensates.

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 both taskId and subtaskData are already documented with their own field descriptions. The description's 'under an existing task' phrase reinforces taskId's meaning but adds no new parameter-level detail beyond the schema, so the baseline 3 applies.

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 states a specific verb and resource — 'Creates a subtask under an existing task' — and the phrase 'under an existing task' clearly differentiates it from siblings like freelo_create_task. An agent can identify the tool's function and scope without opening the schema.

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 second sentence, 'Subtasks help break down complex tasks into smaller pieces,' implies when the tool is appropriate, but there is no explicit when-to-use or when-not-to-use guidance, and no alternative tools are named. Usage context is present but left to inference.

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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