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agent-gantt

agent-gantt

by TobiasCoding
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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create_task

Create tasks for agent-gantt project plans by setting title, project ID, assignee, status, progress, dates, and parent task ID to group subtasks.

Instructions

Create task. summary: few words for humans; description: agent detail. parent_task_id groups subtasks, not a dependency.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project_id": "<project_id>",
      "title": "<title>"
    },
    "name": "create_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
actorNo
titleYes
reasonNo
statusNo
summaryNo
assigneeNo
due_dateNo
progressNo
project_idYes
start_dateNo
descriptionNo
parent_task_idNo
idempotency_keyNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

C2.9/5.0
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 behavioral burden, and it discloses almost nothing: no side effects, no permission requirements, no note that this is a non-destructive create, and no mention that idempotency_key exists for safe retries. It spends its words on field semantics instead of behavior.

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?

Three compact clauses with the core purpose front-loaded and zero filler. It is terse to the point of under-specification, but nothing in the text is wasted.

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?

For a 13-parameter mutation tool with no annotations, no output schema, and 0% schema description coverage, the description is far too thin. An agent cannot confidently populate the majority of fields or predict the tool's side effects from this text.

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

Parameters2/5

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

Schema description coverage is 0% across 13 parameters, and the description only clarifies two of them (summary vs. description, and parent_task_id). Required params, status enum values, date formats, assignee/actor/reason, and idempotency_key remain undocumented in both schema and description.

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 first two words give a specific verb plus resource ('Create task'), so the agent immediately knows this is a creation tool. However, it never distinguishes itself from sibling create_project or explains its relationship to update_task, so it stops short of the 5-level sibling differentiation.

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?

There is no explicit when-to-use statement, but the clause 'parent_task_id groups subtasks, not a dependency' implicitly routes the agent away from the add_dependency sibling for hierarchical relationships. That is real disambiguation, but it covers only one axis of the use decision.

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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