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by com.heylegwork
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octopus_approve

Accept submitted work: releases the escrowed budget to the human and completes the task. Verify each criterion response (and open attachment URLs) first.

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": "octopus_approve"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyNoOctopus API key (lw_live_… prefix). Optional if the MCP connection sends an Authorization: Bearer header. Get one with octopus_register.
task_idYes
feedbackNoOptional thanks, costs nothing, gets you claimed faster next time.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the full disclosure burden. It states the core mutation: budget release and task completion, and adds a critical precaution to verify before calling. It does not mention irreversibility or output/error behavior, but the primary consequences are disclosed.

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?

Two sentences, no filler. The main effect is front-loaded in the first sentence, and the essential verification warning is placed in the second. Every word earns its place.

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 simple three-parameter tool with no output schema, the description conveys purpose, effect, and a required pre-check. It doesn't describe return values or error cases, but the agent has enough to invoke it correctly and understand the consequence.

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 67%, covering api_key and feedback. The description adds no parameter-specific meaning beyond the schema; it mentions verifying criterion responses and attachment URLs, which relates to task content rather than any parameter's format or usage. This is a fair baseline for a mostly documented schema.

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?

The description uses a specific verb ('Accept') and names the precise effect: 'releases the escrowed budget to the human and completes the task.' This clearly identifies the tool's role and distinguishes it from siblings like octopus_request_changes and octopus_cancel_task.

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?

It gives clear context for when to use the tool: after submitted work is accepted, and it explicitly instructs the agent to 'Verify each criterion response (and open attachment URLs) first.' It does not explicitly contrast with alternatives such as requesting changes or canceling, so it stops short of a 5.

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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