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evrenonur
by evrenonur

Create Project Task

aiproject_create_task

Create a task under a project by providing title, full content, and up to three assignments (each with type and status). Returns a task summary without content.

Instructions

Calls POST /projects/{project}/tasks to create a task with full content and one or more assignments. The API response is a task summary and intentionally omits content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseUrlNoOptional AIProject API root URL override. If omitted, AIPROJECT_BASE_URL from the MCP server environment is used. Accepts either http://127.0.0.1:8000 or http://127.0.0.1:8000/api/v1; app roots get /api/v1 appended automatically.
apiKeyNoOptional AIProject API key override. If omitted, AIPROJECT_API_KEY from the MCP server environment is used. The key is sent as X-API-Key.
projectYesProject ID.
titleYesTask title.
contentYesFull long task content. This is sent to create/update endpoints, but list/create/update responses return only task summaries without content.
assignmentsYesComplete assignment list for the task. For PUT, this replaces the previous assignment list; omitted old assignments are deleted by the API.
Behavior3/5

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

The description adds that the API response is a task summary intentionally omitting content, which is useful beyond annotations. However, it does not disclose other behavioral traits such as auth requirements, rate limits, or side effects (e.g., notification triggers). With openWorldHint=true, no mention of the schema not being exhaustive.

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, front-loading the HTTP call and then clarifying response behavior. No wasted words; every sentence adds value.

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?

The description covers the core purpose and response omission but lacks details on error conditions, prerequisite checks (e.g., project must exist), or how assignments are replaced. Adequate for a straightforward creation tool but not comprehensive.

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 parameters are well-documented in the schema. The description adds general context ("full content and one or more assignments") but does not provide additional semantic meaning for individual parameters beyond what the schema already offers.

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 states the tool calls POST /projects/{project}/tasks to create a task with full content and assignments. It specifies the resource (task), the action (create), and key features (full content, assignments). This distinguishes it from sibling tools like update, delete, or list.

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?

No explicit guidance on when to use this tool versus alternatives like update_task or delete_task. The description does not mention prerequisites (e.g., project existence) or when not to use it. The agent must infer usage from the tool name alone.

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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