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SetLuca

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by setluca

Read alert delivery settings

luca_insights_settings_get

Retrieve the insight alert settings for a coach to see which alerts are delivered and how. Check this before assuming a quiet feed means no activity, since alerts may be muted.

Instructions

Read which insight alerts reach the coach and how. The row is created with defaults on the first read, so this never 404s. Check it before concluding a quiet feed means nothing is happening — it may just be muted.

Luca operation: GET /api/insights/settings 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
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

A4.3/5.0
Behavior5/5

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

Adds substantial behavior beyond annotations: the settings row is lazily created with defaults on first read (explaining the readOnlyHint=false on a GET), it never 404s, it requires analytics:read / luca:read scopes, and data is redacted. This is exactly the kind of context annotations cannot convey.

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?

Front-loads the core purpose and diagnostic hint, then lists operational metadata compactly. The scope/idempotency boilerplate is useful routing info but slightly dilutes the prose; overall well-sized with no real waste.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, return values need not be explained. The description covers behavior (lazy creation, no 404), usage trigger, scopes, and parameter overrides — everything needed to invoke it correctly.

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 clarifies that workspaceId/workspaceSlug override the environment-configured default workspace, adding meaning beyond the schema's terse 'optional override' text.

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?

Specific verb+resource ('Read which insight alerts reach the coach and how') that clearly states the endpoint's subject matter and adds the muted-state nuance. It does not explicitly name or contrast with the obvious sibling luca_insights_settings_update, keeping it just below the top band.

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?

Gives a concrete when-to-use scenario: 'Check it before concluding a quiet feed means nothing is happening — it may just be muted.' That is a real trigger, not implied usage. No explicit when-not or named alternative, so not 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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