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SetLuca

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by setluca

List calls with no outcome recorded

luca_bookings_needs_outcome
Read-onlyIdempotent

List attended calls that have no recorded outcome so you can close revenue attribution. Use this work list to find bookings still needing a result before reporting.

Instructions

List attended calls with no outcome recorded yet. The work list for closing revenue attribution.

Luca operation: GET /api/bookings/needs-outcome Required scopes: bookings:read Required OAuth scope: luca:read; data sensitivity: full_content Does not require idempotency. Use workspaceId or workspaceSlug to override the default workspace configured by environment.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdNoOptional Luca workspace id override.
workspaceSlugNoOptional Luca workspace slug override.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
provenanceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds real context beyond that: required OAuth scopes, 'data sensitivity: full_content', and the fact that no idempotency key is required. The phrase 'Does not require idempotency' sits in mild tension with idempotentHint=true (one describes the caller's obligation, the other the operation's nature), but it is not a contradiction.

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 purpose sentence is front-loaded and the operational metadata is compact and scannable. The 'Does not require idempotency' line is the one near-filler item, since annotations already carry idempotency semantics, but overall there is little waste.

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?

An output schema exists, so return values need not be described, and the description covers the remaining unknowns: auth scopes, sensitivity level, read-only nature, and workspace defaulting. Pagination or result-size behavior for this list is not mentioned, which is the only notable gap for a read-list tool.

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 100%, so the baseline is 3, but the description adds semantics the schema lacks: workspaceId/workspaceSlug are overrides of a default workspace configured by the environment. That fallback behavior is genuinely useful for deciding whether to pass either parameter at all.

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 states a specific verb and resource with a precise scope: 'List attended calls with no outcome recorded yet,' which cleanly separates it from luca_bookings_list (all bookings), luca_bookings_outcome_get (one booking's outcome), and luca_bookings_outcome_record (the write side). 'The work list for closing revenue attribution' adds the business intent, so an agent knows what this list is for without opening the schema.

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?

Usage context is clear: this is the work list an agent pulls when it needs to close out revenue attribution, and the required scopes (bookings:read, luca:read) are stated as prerequisites. It does not name alternatives or state when not to use it (e.g. versus luca_call_events_needing_feedback), 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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