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Suggest font pairings

suggest_font_pairings
Read-only

Show 3 font pairings (heading + body Google Fonts) for the user to pick from. Does NOT change the site; the chosen pairing is applied separately with set_theme.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionsYes3 options: { name, description?, styleGuide: { headingFontFamily, bodyFontFamily, accentFontFamily?, radiusBox?, shadowStyle? }, palette? }.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already carry readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description nonetheless adds workflow context beyond the annotations: it explicitly says it does not mutate the site and names set_theme as the tool that performs the write. That is a useful addition, though no return or pagination behavior is described.

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?

Two tight sentences, zero filler, and the non-mutating constraint plus the set_theme handoff are front-loaded. Every clause earns its place.

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

Completeness3/5

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

For a read-only tool with a rich nested schema and no output schema, the description covers the mutation boundary but leaves gaps: it never explains that the caller must supply the candidate 'options' (despite them being required) or what the tool returns (e.g., the selected pairing). An agent has enough to call it safely but not to fully predict the interaction.

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% and the schema's own 'options' description already spells out the shape ('{ name, description?, styleGuide: {...}, palette? }'). The description adds only the 'Google Fonts' qualifier and mentions heading+body while the schema also permits accentFontFamily, so it neither adds much nor fully reconciles. Baseline 3 is appropriate when the schema does the heavy lifting.

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?

States a specific verb+resource ('Show 3 font pairings (heading + body Google Fonts)') and counts the output, which is more than a tautology of the name. It also distinguishes itself from the mutation sibling by noting it does not change the site. Minor tension: the required 'options' input is not acknowledged by the 'show 3 pairings' phrasing, so the precise action is slightly ambiguous.

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?

Names the alternative and the workflow condition explicitly: 'the chosen pairing is applied separately with set_theme.' This tells the agent when to reach for this tool versus set_theme. It stops short of stating when NOT to use it or routing to suggest_palettes, but the core routing is clear.

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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