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Octopus

octopus_send_message

Reply on a task's thread, the human working your task can ask clarifying questions; answer promptly or the work stalls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
api_keyNoOctopus API key (lw_live_… prefix). Optional if the MCP connection sends an Authorization: Bearer header. Get one with octopus_register.
task_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations present, the description carries the burden of behavioral disclosure. It communicates that this is an interactive reply action and implies a human-in-the-loop dependency, but it does not describe side effects, authentication behavior, rate limits, or what happens after sending.

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?

The description is a single, tightly front-loaded sentence that names the action first and adds purpose plus urgency without fluff. Every clause 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 message-sending tool with no output schema and no annotations, the description covers the essential action, when to use it, and why timeliness matters. It could add more detail about response format or failure behavior, but the core context an agent needs is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is low at 33%, so the description must compensate. It does reasonably well: 'reply on a task's thread' conveys that task_id identifies the task, and 'answer' clarifies that body is the reply content. It does not provide formatting details or examples, but the core meaning of both required parameters is inferable.

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 clearly identifies the action as replying on a task's thread, which is a specific verb and resource. It also provides context about clarifying questions, which helps distinguish it from sibling tools like octopus_approve or octopus_request_changes, though it does not explicitly name an alternative.

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 context for when to use the tool: when the human working the task asks clarifying questions. It adds an urgency guideline ('answer promptly or the work stalls'), but it does not explicitly say when not to use it or mention alternatives.

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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