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SetLuca

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by setluca

Approve and send a queued draft

luca_review_queue_approve
Destructive

Approve a pending draft in the review queue to send a real message through the lead's channel. Pass confirm: true to proceed.

Instructions

Approve a pending draft for sending; dispatches through the lead's channel. Sends a real message.

Luca operation: POST /api/review-queue/{id}/approve Required scopes: review_queue:write Required OAuth scope: luca:queue_ops; data sensitivity: redacted Requires Idempotency-Key. Provide idempotencyKey for safe retries, or the server will generate one. Destructive: has a real-world side effect. You must pass confirm: true; the call is rejected without it. Use workspaceId or workspaceSlug to override the default workspace configured by environment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
bodyYes
confirmNoThis tool has a real-world side effect: it messages real leads, books, moves, or cancels a call, changes a lead's consent, imports leads, writes to a connected calendar or CRM, sends workspace events to an outside URL, or re-triggers downstream automations. Pass confirm: true to proceed; the call is rejected without it.
workspaceIdNoOptional Luca workspace id override.
workspaceSlugNoOptional Luca workspace slug override.
idempotencyKeyNoStable key for safe retries. If omitted, the MCP server generates a unique key for this call.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A4.1/5.0
Behavior5/5

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

Going well beyond the annotations (which only flag destructive/openWorld/idempotent), the description discloses that it sends a real message through the lead's channel, that confirm:true is required or the call is rejected, and how idempotency keys are handled. This is exactly the extra behavioral context an agent needs for a destructive send.

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?

Purpose is front-loaded in the first sentence and the following lines are each distinct operational facts. There is mild redundancy (confirm/destructive warning duplicated in the schema's confirm description), but overall it is tight and scannable.

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?

With an output schema present and annotations covering the safety profile, the description sufficiently frames scopes, idempotency, confirmation, and workspace override. The only gap is that the nested body payload (finalBody/finalParts/outboundContent) is left entirely to the schema.

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%; the four described params (confirm, workspaceId, workspaceSlug, idempotencyKey) already carry descriptions, and the description mostly restates them. The two undocumented required params (id and the complex nested body) get no explanation, so the description adds little beyond the 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 opening states a specific verb+resource ('Approve a pending draft for sending') and clarifies the effect ('dispatches through the lead's channel. Sends a real message'), which cleanly separates it from siblings like luca_review_queue_reject and luca_review_queue_restore.

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?

It gives useful operating prerequisites (required scopes, mandatory confirm:true, idempotency handling), but never states when to choose approve over review_queue_reject/restore or what qualifies a draft for approval. Usage is implied rather than guided.

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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