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legwork_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_keyNoLegwork API key (lw_live_…). Optional if the MCP connection sends an Authorization: Bearer header. Get one with legwork_register.
task_idYes

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral info. It reveals that the tool is part of a back-and-forth conversation ('can ask clarifying questions') and hints at urgency ('answer promptly or the work stalls'). However, it omits details like whether the action is reversible, delivery guarantees, or rate limits. It adds some insight beyond a bare description, so a 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief—two sentences totaling 27 words. It front-loads the core function ('Reply on a task's thread') and then adds context. It could be slightly tighter, but every word earns its place. No redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

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 only 3 parameters and no output schema, the description gives essential contextual insight about human interaction and responsiveness. However, it doesn't mention what happens after sending (e.g., will the agent get a response, any confirmation), and the motivational warning, while useful, doesn't replace practical details like 'the thread updates asynchronously'. Adequate for the complexity but not exhaustive.

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

Parameters2/5

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

Schema coverage is only 33% (only api_key has a description). The description does not explicitly describe 'body' or 'task_id', though the verb 'reply' implies body is the message content and task_id is the target. This is implied rather than stated, and no additional detail (formats, limits, behaviors) is provided, so the description fails to compensate for the low schema coverage.

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 uses the specific verb 'reply' and identifies the resource ('on a task's thread'), clearly indicating this tool sends a message on a task. It distinguishes itself from siblings like 'approve' or 'request_changes' by focusing on the reply action, even though it doesn't explicitly name alternatives.

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?

The description implies when to use this tool: when the human working the task asks clarifying questions ('the human working your task can ask clarifying questions'). It provides a clear context for use but does not explicitly mention alternatives or when not to use it. The guidance is implied rather than explicit.

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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TDQS

A4/5.0
Disambiguation5/5

Each tool has a distinct purpose: task actions (approve, cancel, post), retrieval (get_task, my_tasks, marketplace), account (register, wallet, topup), messaging (send_message), and intents. No overlapping functionalities.

Naming Consistency4/5

Mostly verb_noun pattern (cancel_task, get_task, post_task, request_changes, send_message) with some single verbs (approve, register, topup) and nouns (marketplace, wallet) causing slight inconsistency, but all are clear.

Tool Count5/5

12 tools appropriately cover the core operations of a task marketplace without being overwhelming or sparse.

Completeness5/5

Comprehensive coverage: task lifecycle (create, read, list, update via request_changes, delete via cancel), user management, payments, intents, and marketplace browsing. No major gaps.