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aroy314

mcp-teamline

by aroy314

Create a Teamline task

teamline_tasks_create

Create a Teamline task by providing a name and optional description, assignees, due date, channel, list, and notification settings.

Instructions

Create a Teamline task via tasks.create. name is required. Optional: description, assign (string[] of @name/email/slackId), channel (#name or slackId), list (~name or id; channel required if list is set), personal (boolean), due (ISO8601 or human string), notify (string[]). Token is read only from TEAMLINE_API_KEY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dueNoISO8601 timestamp, or a human string such as "next wednesday at 3:30pm"
listNo~list-name or id. Channel is required if this is present.
nameYesName of the task
assignNo@name, email address, or slackId of members to assign
notifyNo@name, email address, or slackId of members to notify. Assigned members won't be notified twice.
channelNo#channel-name or slackId. Required if list is present.
personalNoOverrides the default privacy setting
descriptionNoTask description
Behavior3/5

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

Annotations already indicate readOnlyHint=false and destructiveHint=false, so the description doesn't need to repeat those. It adds the token source (TEAMLINE_API_KEY) and the constraint that channel is required when list is set, but does not disclose return values, error behavior, or side effects beyond creation. This is adequate but not rich.

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 two sentences, front-loaded with the purpose and required field, then a compact list of optional parameters. It is efficiently structured and free of fluff, though some information duplicates the schema.

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 create operation with 8 parameters and no output schema, the description covers required/optional fields and key constraints. However, it does not describe what the API returns (e.g., a task object with an id) or error cases, which are important for agents to confirm success. This is a notable gap for completeness.

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 all parameters are already documented. The description restates parameter types and constraints but adds little beyond the schema, such as the token source and the channel-required-if-list rule. Since the schema carries the main semantic load, this is a baseline 3.

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 explicitly states 'Create a Teamline task via tasks.create', clearly identifying the verb and resource. It distinguishes this tool from siblings like list and complete by focusing on creation, so an agent can select it appropriately.

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 the tool is for creating tasks but does not explicitly contrast it with alternatives like teamline_tasks_list or teamline_tasks_complete. It provides no 'when not to use' guidance or references to sibling tools, so 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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