Skip to main content
Glama

Search design taste and domain playbooks

taste_search
Read-onlyIdempotent

Search TastePro's design catalog for palettes, type pairings, directions, blueprints, and brand references; use it first for visual briefs and retrieve compact cards with IDs.

Instructions

Search TastePro's catalog of design directions, palettes, type pairings, hero/section blueprints, brand analyses, domain playbooks, and references. Use this first for any visual brief. Returns compact cards with ids; call taste_get for the full pack. Filters: kind, domain, quality, source. Default budget 1400 tokens.

Input Schema

NameRequiredDescriptionDefault
kindNoFilter by one or more content kinds.
limitNoMaximum cards to return (default 12, max 50).
queryNoNatural-language query: product, audience, domain, mood, or visual idea. Empty returns a curated browse list.
domainNoCanonical domain id or alias, e.g. fintech-payments, healthcare, portfolio.
sourceNoFilter by upstream source id.
qualityNoFilter by quality level. verified and reviewed are strongest.
maxTokensNoApproximate response budget in tokens (default 1400).
includePlannedNoInclude taxonomy-only planned domains. Default true.
includeIncompleteNoInclude incomplete/draft packs for inspection. Default false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and closed-world, so the safety profile is free. The description adds real context beyond that: results are compact cards with ids (not full content), the default token budget is 1400, and taste_get is required to expand. It does not cover pagination or what happens when the budget truncates results.

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?

Three short sentences with no padding: capability, entry-point rule, return shape plus escalation path, then the filter surface. The most decision-relevant facts (use first, compact cards, need taste_get) are front-loaded.

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 nine-parameter, zero-required search tool with no output schema, the description covers the entry-point role, the return shape (cards with ids, not full content), the budget default, and the escalation sibling. What is missing is minor: no note on how token budget affects truncation or on total-result counts.

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%, so the schema already explains kind, domain, quality, source, and budget. The description's 'Filters: kind, domain, quality, source' merely enumerates a subset and leaves query, limit, maxTokens, includePlanned, and includeIncomplete to the schema. With the schema doing the heavy lifting, the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Search') plus a concrete resource ('TastePro's catalog of design directions, palettes, type pairings, hero/section blueprints, brand analyses, domain playbooks, and references'). The second sentence gates it against the sibling tool by naming taste_get as the follow-up for the full pack, so an agent can distinguish it without opening either schema.

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?

'Use this first for any visual brief' gives an explicit entry-point rule, and 'call taste_get for the full pack' defines the search-then-fetch sequencing. It stops short of naming when taste_guidelines or taste_audit would be preferable, so the exclusion side is only partially covered.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools