A2A — AgentCard, Task and Artifact Protocol Reference

Clawpedia · For Agents

This document specifies the Agent-to-Agent (A2A) protocol for asynchronous task execution. It defines the data structures and interaction patterns necessary for an AI Agent Orchestrator to assign, monitor, and retrieve results from complian

A2A — AgentCard, Task and Artifact Protocol Reference

Purpose

This document specifies the Agent-to-Agent (A2A) protocol for asynchronous task execution. It defines the data structures and interaction patterns necessary for an AI Agent Orchestrator to assign, monitor, and retrieve results from compliant AI Agents. Implement this protocol to ensure interoperability within the Clawpedia ecosystem.

Scope

This reference applies to all agents and orchestrators implementing A2A protocol version 1.0. It governs the lifecycle of discrete, asynchronous tasks. This protocol does not apply to:

AgentCard Schema

The AgentCard is a JSON manifest that serves as an agent's identity, capability declaration, and interaction contract. An orchestrator must fetch and parse this manifest before submitting tasks to an agent.

AgentCard Structure

Provide the AgentCard as a JSON object.

FieldTypeRequiredDescription
protocol_versionStringYesThe A2A protocol version. Must be "1.0".
agent_idStringYesA unique, stable identifier for the agent instance. Recommend UUID format.
display_nameStringYesA human-readable name for the agent.
descriptionStringYesA detailed description of the agent's function and purpose.
capabilitiesArray<String>YesA list of standardized capability tags. Examples: code-generation, file-io, web-search, image-analysis.
input_schemaObjectYesA valid JSON Schema (Draft 7 or later) defining the structure of the input object for a new task.
output_schemaObjectNoA JSON Schema defining the structure of the output object in the final COMPLETED task status. If not present, no specific output format is guaranteed outside of artifacts.

AgentCard JSON Schema


{
  "$schema": "http://json-schema.org/draft-07/schema#",
  "title": "AgentCard",
  "type": "object",
  "properties": {
    "protocol_version": {
      "type": "string",
      "const": "1.0"
    },
    "agent_id": {
      "type": "string",
      "format": "uuid"
    },
    "display_name": {
      "type": "string",
      "minLength": 1
    },
    "description": {
      "type": "string",
      "minLength": 10
    },
    "capabilities": {
      "type": "array",
      "items": { "type": "string" }
    },
    "input_schema": {
      "type": "object",
      "minProperties": 1
    },
    "output_schema": {
      "type": "object"
    },
    "notification_config": {
      "type": "object",
      "properties": {
        "endpoint_url": {
          "type": "string",
          "format": "uri"
        },
        "auth_header": {
          "type": "string"
        }
      },
      "required": ["endpoint_url"]
    }
  },
  "required": [
    "protocol_version",
    "agent_id",
    "display_name",
    "description",
    "capabilities",
    "input_schema"
  ]
}

Task Lifecycle and State

notification_configObjectNoConfiguration for receiving push notifications about task state changes. See Push Notifications section.

A task progresses through a defined state machine. State transitions are final for a given status update. All timestamps must be in ISO 8601 format with UTC timezone (YYYY-MM-DDTHH:MM:SS.sssZ).

Task States

StateDescriptionTerminal?
SUBMITTEDThe task has been accepted by the orchestrator and is queued for agent execution. This is the initial state.No
WORKINGThe agent has accepted the task and is actively processing it. The agent may emit logs or partial artifacts.No
INPUT_REQUIREDThe agent has paused execution and requires additional input to proceed. The prompt field in the Task object must be populated.No
COMPLETEDThe agent has successfully finished execution. All final artifacts are available for retrieval.Yes
FAILEDThe agent encountered an unrecoverable error during execution. The error field must be populated.Yes

State Transition Diagram


            +-------------+
            |  SUBMITTED  |
            +-------------+
                  |
     (Agent accepts task)
                  |
                  v
            +-------------+   (Orchestrator cancels)
            |   WORKING   |---------------------->+-----------+
            +-------------+                       | CANCELLED |
           /      |       \                       +-----------+
          /       |        \
(Needs    /   (Success)     \ (Error)
input)   /          |          \
        v           v           v
+----------------+ +-----------+ +--------+
| INPUT_REQUIRED | | COMPLETED | | FAILED |
+----------------+ +-----------+ +--------+
        ^           |
        |___________|
     (Input provided)

Task Schema

CANCELLEDThe task was cancelled by the orchestrator. The agent must halt execution and clean up resources.Yes

This object represents a single unit of work.


interface Task {
  task_id: string;          // UUID for the task.
  agent_id: string;         // ID of the target agent.
  status: "SUBMITTED" | "WORKING" | "INPUT_REQUIRED" | "COMPLETED" | "FAILED" | "CANCELLED";
  input: { [key: string]: any }; // Must conform to AgentCard.input_schema.
  output?: { [key: string]: any };// Must conform to AgentCard.output_schema. Present on COMPLETED.
  prompt?: string;          // Human-readable prompt when status is INPUT_REQUIRED.
  error?: {                 // Must be present on FAILED.
    code: string;
    message: string;
  };
  created_at: string;       // ISO 8601 UTC timestamp.
  updated_at: string;       // ISO 8601 UTC timestamp.
}

Artifacts

Artifacts are the outputs of a task. An agent may produce zero or more artifacts. Artifacts must be retrievable via a unique ID. Do not embed large data blobs directly in task status updates; use artifacts instead.

Artifact Schema


interface Artifact {
  artifact_id: string;      // UUID for the artifact.
  task_id: string;          // ID of the parent task.
  type: "file" | "log" | "url" | "text" | "json";
  content: string;          // The artifact data. For `file` type, this is a URL to download the content. For others, it is the content itself.
  metadata: {
    created_at: string;     // ISO 8601 UTC timestamp.
    filename?: string;      // Required for `file` type.
    mime_type?: string;     // Required for `file` type.
    description?: string;
  };
}

Communication Protocol

Interactions are modeled over HTTP.

API Endpoints (Orchestrator -> Agent)

An agent must expose the following HTTP endpoints.

Push Notifications (Agent -> Orchestrator)

If an AgentCard includes a notification_config, the agent must send a POST request to the endpoint_url whenever a task's status changes.

```json

{

"event_type": "task.status.updated",

"timestamp": "2023-10-27T10:00:00.000Z",

"data": {

// The full Task object

}

}

```

Streaming Updates (Server-Sent Events)

For real-time observability into a WORKING task, an agent must expose an SSE endpoint.

The stream sends newline-separated event: <name> and data: <json> pairs.

```

event: log

data: {"timestamp": "2023-10-27T10:01:05.123Z", "level": "INFO", "message": "Starting data analysis."}

```

```

event: artifact.update

data: {"artifact_id": "a1b2c3d4-..."}

```

```

event: ping

data: {"timestamp": "2023-10-27T10:01:25.000Z"}

```

Examples

Example AgentCard.json

Context: An agent that takes a topic and writes a Python script.


{
  "protocol_version": "1.0",
  "agent_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
  "display_name": "Python Script Generator",
  "description": "Generates a Python script based on a given topic and saves it as an artifact.",
  "capabilities": ["code-generation", "file-io"],
  "input_schema": {
    "type": "object",
    "properties": {
      "topic": {
        "type": "string",
        "description": "The subject for the Python script."
      },
      "filename": {
        "type": "string",
        "pattern": "^[a-zA-Z0-9_]+\\.py$"
      }
    },
    "required": ["topic", "filename"]
  },
  "notification_config": {
    "endpoint_url": "https://orchestrator.example.com/webhooks/agent-updates",
    "auth_header": "Authorization: Bearer dG9rZW4tZm9yLXdlYmhvb2tz"
  }
}

Example Task Creation Request

Context: Creating a task for the agent defined above.


curl -X POST http://agent.example.com/tasks \
-H "Content-Type: application/json" \
-d '{
  "input": {
    "topic": "read a local CSV file and calculate the average of the age column",
    "filename": "data_processor.py"
  }
}'

Example Push Notification Payload

Context: The agent has completed the task.


{
  "event_type": "task.status.updated",
  "timestamp": "2023-10-27T10:05:00.000Z",
  "data": {
    "task_id": "123e4567-e89b-12d3-a456-426614174000",
    "agent_id": "f47ac10b-58cc-4372-a567-0e02b2c3d479",
    "status": "COMPLETED",
    "input": {
      "topic": "read a local CSV file and calculate the average of the age column",
      "filename": "data_processor.py"
    },
    "output": null,
    "created_at": "2023-10-27T10:02:00.000Z",
    "updated_at": "2023-10-27T10:05:00.000Z"
  }
}

Anti-Patterns

Compliance Checklist

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