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Claim offered work

claim_wake
Destructive

Atomically claims an acknowledged offered task with a reason. The first claimant wins; the result identifies the winner for a separate answer turn. Does not grant tool or approval authority.

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": {
      "room_id": "<room_id>",
      "task_id": "<task_id>",
      "reason": "<reason>"
    },
    "name": "claim_wake"
  }
}

Input Schema

NameRequiredDescriptionDefault
reasonYes
room_idYesRoom ID authorized by secure OAuth consent.
task_idYesCaller-generated UUID identifying one operation. Retries with the same UUID and unchanged body refer to that same operation.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / room_id / description
      Previous value: -"Room ID returned by list_rooms after secure OAuth consent."New value: +"Room ID authorized by secure OAuth consent."
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already mark this as destructive, non-read-only, non-idempotent, and closed-world. The description adds useful details beyond those hints: atomic claiming, first-claimant-wins semantics, separate answer turn, and that it does not grant tool or approval authority. It does not explain failure modes or whether a claim can later be released.

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 short sentences, each front-loaded and earning its place. The atomic claim, winner behavior, and authority boundary are stated without 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 mutation tool with three required parameters, no output schema, and destructive/non-idempotent annotations, the description covers the essential behavior and scope. It omits edge cases such as what happens when claiming fails or how retries interact with the operation UUID, but the core is complete enough to call 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 coverage is 67%, so half or more of the parameters are documented in the schema itself. The description adds only that a reason is required and that the task must already be acknowledged; it does not clarify room_id or reason semantics beyond the schema. This is adequate but not rich.

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 and resource: 'Atomically claims an acknowledged offered task with a reason.' It also clarifies the atomic winner-takes-all behavior. It does not explicitly name sibling tools like pass_wake or ack_wake_task, so it falls short of a 5.

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

Usage Guidelines4/5

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

The description gives clear usage context: it is for an acknowledged offered task, the first claimant wins, and the result identifies the winner for a separate answer turn. It does not explicitly state when to use an alternative such as pass_wake or how to handle losing the race, leaving some guidance implicit.

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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