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by evrenonur

Update Task Assignment Status

aiproject_update_assignment_status

Update the status of an existing team assignment (frontend, backend, or mobile) for a task in a project. Returns a task summary without content; does not create new assignments.

Instructions

Calls PATCH /projects/{project}/tasks/{task}/assignments/{type} to update one existing team's status. It does not create a missing assignment; if the task does not already have that type, the API returns 404. Use PUT aiproject_update_task to add or remove teams. The response is a task summary without 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.
taskYesTask ID.
typeYesAssignment team type: frontend, backend, or mobile.
statusYesAssignment status: waiting, working, or completed.
Behavior4/5

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

Annotations indicate mutation but not destructive or idempotent. Description adds that it does not create assignments, returns 404 on missing type, and response is a task summary without content. This provides useful behavioral context beyond annotations.

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?

Three sentences, no fluff. Front-loaded with HTTP method and endpoint, then key behavioral notes. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, description mentions response format. Missing error handling details beyond 404, but overall sufficient for agent to use correctly.

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 baseline is 3. Description clarifies that 'type' corresponds to team type, but does not add significant detail beyond what schema already provides.

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?

Description clearly states the tool calls PATCH endpoint to update an existing assignment's status, and distinguishes from PUT aiproject_update_task which adds/removes teams. Verb 'update' and resource 'assignment status' are specific.

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

Usage Guidelines5/5

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

Explicitly says when to use this tool (update existing status) and when not (create missing assignment returns 404), and directs to PUT aiproject_update_task for adding/removing teams.

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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