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SetLuca

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by setluca

Read what reply speed is worth

luca_analytics_speed_impact
Read-onlyIdempotent

Compare fast-reply versus slow-reply booking rates for a period to see how response speed affects conversion, estimate lost opportunities, and identify your peak performance reply window.

Instructions

Fast-vs-slow first-reply booking-rate impact for a period. Returns fast- and slow-reply conversion rates, a lost-opportunity estimate, and the peak performance reply window.

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

Input Schema

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

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds valuable context beyond annotations: the required analytics:read / luca:read OAuth scopes, redacted data sensitivity, and the fact that no idempotency key is needed.

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 and returns are front-loaded in the first sentence, followed by compact operational metadata. The 'Does not require idempotency' line is marginally redundant given idempotentHint=true, 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?

For a read-only analytics tool with an output schema, the return values needn't be explained (though they are), and the description supplies scopes, sensitivity, and workspace override. The main gap is the unaddressed 'channel' filter and period enum values, but nothing critical for correct invocation is missing.

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% (mid-range). The description echoes the period dimension ('for a period') and explains the workspaceId/workspaceSlug override purpose, but the 'channel' filter is never mentioned in the description, so a parameter visible in the schema is not contextualized. Adds modest value over the schema.

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 names a specific analysis ('Fast-vs-slow first-reply booking-rate impact for a period') with a clear verb-like action and resource, and enumerates the concrete outputs (fast/slow conversion rates, lost-opportunity estimate, peak reply window). It is clearly distinct from funnel/revenue/forecast siblings by its narrow focus, though it never names an alternative to route the agent explicitly.

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?

Usage is only implied: 'for a period' plus the note to use workspaceId/workspaceSlug to override the environment default. There is no explicit when-to-use versus other analytics tools (e.g. ghosted_leads, benchmarks) and no when-not guidance.

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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