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CustomerDashboard

Set dashboard colours

set_dashboard_theme
Idempotent

Set the colour theme of a dashboard: page and surface backgrounds, text colours, brand colours and the chart series palette. All colours are hex values. Pass every field, since the theme is stored as one object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dashboardIdYesDashboard id.
surfaceColorYesBackground of each widget card.
backgroundColorYesPage background.
primaryTextColorYesMain text.
chartSeriesColorsNoExplicit chart series palette. Leave empty to derive one from the brand colours.
primaryBrandColorYesMain accent, used as the first chart series colour.
secondaryTextColorYesMuted and secondary text.
secondaryBrandColorNoSecondary accent, used for the second chart series.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the annotations: the theme is stored as one object and all fields must be passed, implying a full replacement rather than a partial update. The 'All colours are hex values' note also clarifies the accepted format. The annotations already indicate idempotence and non-destructiveness, so the description supplements them well without contradiction.

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

Conciseness5/5

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

The description is two sentences with no wasted words. It front-loads the core operation, then lists the affected color categories and the critical usage constraint about passing every field.

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?

Given the straightforward mutation operation, the description plus the fully documented schema is sufficient for an agent to invoke the tool correctly. It covers what is set, the full-replacement behavior, and the colour format. A minor gap is the lack of explicit guidance on how this relates to set_dashboard_formatting, but this is not essential for correct invocation.

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 description coverage is 100%, with each parameter already documented by name and purpose. The description adds only a general statement about hex values and the need to pass every field, which does not materially extend the schema's parameter-level explanations. Baseline 3 is appropriate.

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 clearly states the verb ('Set') and the resource ('the colour theme of a dashboard'), and enumerates what it covers: backgrounds, text colours, brand colours, and chart series palette. It is unambiguous about the tool's purpose, though it does not explicitly contrast itself with the closely named sibling set_dashboard_formatting.

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?

The description gives an important usage requirement: 'Pass every field, since the theme is stored as one object.' This tells the agent how to invoke the tool correctly, but it does not provide explicit when-to-use guidance or mention any alternatives, such as update_dashboard or set_dashboard_formatting.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools target a distinct resource+action pair, and descriptions explicitly cross-reference related tools (e.g. update_dashboard points to set_dashboard_theme and publish_dashboard). A few pairs remain close enough to cause hesitation—set_widget_layout vs update_widget's position parameter, and get_started vs get_platform_overview—but their descriptions do separate them.

Naming Consistency4/5

Tool names consistently follow verb_noun snake_case with clear resource nouns like customer, dashboard, widget, and data_source. Minor deviations exist between add_* and create_* for creation operations, and set_* versus update_* for mutations, but the overall pattern is still predictable.

Tool Count2/5

With 42 tools, the surface is much larger than the 16-25 range that already feels heavy, and several onboarding/catalog helpers (get_started, get_platform_overview, list_plans_and_limits, list_supported_data_connectors, list_widget_types) add to the count. Each tool has a distinct job, but the set would benefit from consolidation or splitting into focused sub-servers.

Completeness4/5

Core lifecycle coverage is strong: dashboards, views, widgets, data sources, customers, and publishing all have create/read/update/delete where relevant, plus test/preview/validation tools. Obvious gaps are customer-user management beyond create/delete (no password reset/update) and no direct way to move a widget between views, but agents can work around these.

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