imagen-4-mcp

get_task

Poll an asynchronous Imagen 4 remix or text-to-image task using its task ID and originating endpoint to fetch current status and latest result payload.

Instructions

Fetch the current status and latest result payload for a imagen-4 task.

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": {
      "task_id": "<task_id>",
      "action": "<action>"
    },
    "name": "get_task"
  }
}

Input Schema

Name	Required	Description	Default
`action`	Yes	Asynchronous endpoint the task was created on.
`task_id`	Yes	Task id returned when the task was created.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedv0.2.0Oct 5, 2026
- removedInput schema / additionalProperties
```
Removed value: -false
```

Changed1 schema field changedv0.1.9Aug 5, 2026

changedInput schema / properties / action / description

Previous value: -"Endpoint the task was created on."New value: +"Asynchronous endpoint the task was created on."

First observedv0.1.0Jun 24, 2026

TDQS

B3.2/5.0

Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It discloses the return contents ('current status and latest result payload') but omits whether the call is read-only, what happens if the task is incomplete or missing, whether results are partial, and any auth or rate-limit considerations.

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?

A single sentence with no filler, and the key return scope is front-loaded immediately after the verb. Nothing is wasted or buried.

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?

For a low-complexity two-parameter polling tool with full schema coverage and no output schema, the description adequately states what the tool returns. It could still note error or incomplete-task behavior, but it is largely complete for correct invocation.

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%, with the action enum and task_id fully documented in the schema. The description adds no parameter-level meaning beyond the schema, so the baseline score of 3 is appropriate.

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 states a specific verb ('Fetch') and resource ('status and latest result payload') scoped to 'a imagen-4 task,' which distinguishes it from the sibling creation tools remix_image and text_to_image. It does not explicitly name those siblings or state that this is the polling counterpart, so it falls short of full 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 Guidelines2/5

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

There is no explicit when-to-use guidance, no mention that this should be called after remix_image or text_to_image, and no when-not-to-use conditions. The task_id and action parameters imply the workflow, but the description leaves all usage inference to the agent.

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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