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get_task

Get a task's status and every delivery attempt (time, HTTP status or error).

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>"
    },
    "name": "get_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
task_idYesThe task id returned by schedule_http or queue_http.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / task_id / description
      Previous value: -"The task id returned by schedule_http."New value: +"The task id returned by schedule_http or queue_http."
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral load. 'Get' reasonably implies a read-only operation and the description usefully previews the result shape (time, HTTP status or error per attempt), but it does not state whether missing tasks error, whether attempts are paginated or bounded, or anything about permissions, so the disclosure is partial.

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?

One dense sentence that leads with the primary purpose and packs the return detail into a parenthetical. No filler, no redundancy.

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 one-parameter tool with no output schema, the description adequately conveys both what is fetched and what comes back. The remaining gap is behavioral context, such as error behavior for unknown ids and whether the attempt list is complete or truncated.

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 coverage is 100% and the single task_id parameter is fully documented in the schema, including its pattern and origin from schedule_http or queue_http. The description adds nothing beyond that baseline, which is acceptable given the schema already does the work.

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 names a specific verb and resource ('Get a task's status') and adds the scope of the return payload ('every delivery attempt'). That distinguishes it from list_tasks, which returns many tasks, even though no sibling is named explicitly.

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

Usage Guidelines3/5

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

Usage is only implied: an agent can infer this is the detail lookup for a single task, and the required task_id points back to schedule_http or queue_http. There is no explicit when-to-use or when-not-to-use guidance, and no mention of polling, redrive_task, or cancel_task as follow-ups.

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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