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Update Clarity Team Settings

updateClarityTeamSettings

Update clarity team settings for financial calculations

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
team_idNoDuvo team UUID to operate on. API keys are pinned to a single team — omit this (it falls back to the key's team) or pass that same team; a different team is rejected. OAuth callers, who can span multiple teams, should pass the target team here.
industryNo
languageNo
teamSizeNo
companyNameNo
annualRevenueNo
averageHourlyRateNo
emailReportsEnabledNo
emailReportIncludeSummaryNo
emailReportIncludeCapturesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / language / enum
      Previous value: -[
      -  "cs",
      -  "de",
      -  "en",
      -  "en-GB",
      -  "es",
      -  "es-MX",
      -  "fr",
      -  "hu",
      -  "pl",
      -  "pt",
      -  "pt-BR",
      -  "sk",
      -  "sl",
      -  "th",
      -  "uk"
      -]New value: +[
      +  "cs",
      +  "de",
      +  "de-CH",
      +  "en",
      +  "en-GB",
      +  "es",
      +  "es-MX",
      +  "fr",
      +  "hu",
      +  "pl",
      +  "pt",
      +  "pt-BR",
      +  "sk",
      +  "sl",
      +  "th",
      +  "uk"
      +]
  2. Changed1 schema field changed
    • changedInput schema / properties / language / enum
      Previous value: -[
      -  "cs",
      -  "de",
      -  "en",
      -  "en-GB",
      -  "es",
      -  "es-MX",
      -  "fr",
      -  "hu",
      -  "pl",
      -  "pt",
      -  "pt-BR",
      -  "sk",
      -  "sl",
      -  "uk"
      -]New value: +[
      +  "cs",
      +  "de",
      +  "en",
      +  "en-GB",
      +  "es",
      +  "es-MX",
      +  "fr",
      +  "hu",
      +  "pl",
      +  "pt",
      +  "pt-BR",
      +  "sk",
      +  "sl",
      +  "th",
      +  "uk"
      +]
  3. Changed1 schema field changed
    • changedInput schema / properties / language / enum
      Previous value: -[
      -  "cs",
      -  "de",
      -  "en",
      -  "en-GB",
      -  "es",
      -  "es-MX",
      -  "fr",
      -  "hu",
      -  "pl",
      -  "pt",
      -  "pt-BR",
      -  "sk",
      -  "uk"
      -]New value: +[
      +  "cs",
      +  "de",
      +  "en",
      +  "en-GB",
      +  "es",
      +  "es-MX",
      +  "fr",
      +  "hu",
      +  "pl",
      +  "pt",
      +  "pt-BR",
      +  "sk",
      +  "sl",
      +  "uk"
      +]
  4. Changed1 schema field changed
    • changedInput schema / properties / language / enum
      Previous value: -[
      -  "cs",
      -  "de",
      -  "en",
      -  "es",
      -  "es-MX",
      -  "fr",
      -  "hu",
      -  "pl",
      -  "pt",
      -  "pt-BR",
      -  "sk",
      -  "uk"
      -]New value: +[
      +  "cs",
      +  "de",
      +  "en",
      +  "en-GB",
      +  "es",
      +  "es-MX",
      +  "fr",
      +  "hu",
      +  "pl",
      +  "pt",
      +  "pt-BR",
      +  "sk",
      +  "uk"
      +]
  5. Added

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare the safety profile (readOnly=false, destructive=false, idempotent=false, openWorld=false), so the bar is lower, but the description adds nothing beyond them — no indication that unspecified fields are left untouched, no auth/scope context, and no note on what changes take effect. The one added claim ('financial calculations') is not behavioral context.

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

Conciseness3/5

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

A single short sentence with no wasted words and the verb front-loaded, but it is under-specified rather than concise — the brevity comes at the cost of usefulness.

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

Completeness2/5

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

For a 10-parameter mutation with no output schema and no required fields, the agent needs to know at minimum that this is a partial update and roughly which settings are covered. The description supplies none of that, leaving the definition materially incomplete.

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

Parameters1/5

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

Ten parameters with only 10% schema description coverage — just team_id is documented, and only in the schema. The description mentions no field names, no format for annualRevenue/averageHourlyRate, no note that all ten are optional (required=0) and therefore this is a partial update. It fails to compensate for the coverage gap at all.

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 verb (Update) and resource (clarity team settings), and the sibling list contains a clear read counterpart (getClarityTeamSettings), so an agent can place it. However the trailing qualifier 'for financial calculations' is vague and narrows the tool to something the schema does not support (it also covers language, team size, email reports), so it slightly muddies rather than sharpens scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of the getClarityTeamSettings sibling, no statement that this is a partial update, and no prerequisites. The agent must infer everything from the name.

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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