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Systemonomic

Systemonomic

by TonyC23
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

create_task

Add new tasks to Systemonomic projects with configurable automation modes for structured workflow management.

Instructions

Create a new task in a project.

Args: project_id: The project to add the task to name: Task name description: Optional task description mode: One of: manual, semi-auto, auto (default: manual)

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>",
      "name": "<name>"
    },
    "name": "create_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_idYes
nameYes
descriptionNo
modeNomanual

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.1

TDQS

B3.1/5.0
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 burden of behavioral disclosure. It states the tool creates a task but lacks details on permissions required, whether the operation is idempotent, error handling, or what the output contains (though an output schema exists). This leaves significant gaps for a mutation tool with no annotation coverage.

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 front-loaded with the core purpose in the first sentence, followed by a structured 'Args' section that efficiently details parameters. There is minimal waste, though the formatting could be slightly more polished (e.g., integrating the args list more seamlessly).

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?

Given the tool has an output schema, the description does not need to explain return values. However, as a mutation tool with no annotations and multiple siblings, it lacks context on usage scenarios, behavioral traits, and differentiation from alternatives. The parameter semantics are well-covered, but overall completeness is moderate due to these gaps.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It adds meaningful context for all parameters: 'project_id' specifies the target project, 'name' and 'description' clarify their roles, and 'mode' explains its options and default value. This goes beyond the schema's basic titles and types, providing essential usage semantics.

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 description clearly states the action ('Create a new task') and the target resource ('in a project'), which is specific and unambiguous. However, it does not explicitly differentiate this tool from its siblings (e.g., 'generate_tasks_from_wda' or 'derive_task_suggestions'), which would require mentioning what makes 'create_task' distinct, such as manual creation versus automated generation.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'generate_tasks_from_wda' and 'derive_task_suggestions', there is no indication of scenarios where manual task creation is preferred over automated methods, nor any prerequisites or exclusions mentioned.

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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