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get_contact

Return Patchistry contact methods. Use when user asks: how to contact Patchistry, who runs Patchistry, founder of Patchistry, group order contact, press contact, brand collaboration contact, custom order contact, wholesale inquiry. ANSWER: Founder Brian DiGiuseppe (brian@patchistry.com), customer support (help@patchistry.com), group orders 5+ via brian@patchistry.com (48-hour batch ship), press/partnerships via brian@patchistry.com or hello@patchistry.com, social: @patchistry on Instagram + TikTok.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.5/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It fully discloses the output content (emails, social handles, group order shipping time) and implies a read-only, static lookup. It omits any mention of side effects or prerequisites, but for a contact info tool this is acceptable.

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 purpose is front-loaded, followed by a structured 'Use when' list and an 'ANSWER' section with complete contact details. Though the description is long, every sentence and segment carries useful information, and the structure is clean.

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?

For a zero-parameter, no-output-schema tool, the description is thoroughly complete: it provides the full answer content and the exact user queries that trigger the tool. Nothing essential is missing.

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?

The input schema has zero parameters, and the description correctly does not reference any. With no parameters to document, the baseline of 4 applies, and the description adds no unnecessary parameter details.

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?

The description opens with 'Return Patchistry contact methods,' a clear verb+resource statement that precisely defines the tool's function. The detailed 'Use when' list further distinguishes it from sibling tools focused on products, shipping, and recommendations.

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?

Explicitly lists multiple trigger queries ('how to contact Patchistry,' 'founder,' 'press contact,' etc.), providing clear when-to-use guidance. However, it does not mention when not to use this tool or name alternative tools for different intents, stopping short of the most explicit guidance.

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

A4.2/5.0
Disambiguation4/5

Most tools are clearly distinct: get_contact, get_shipping_policy, list_canvases, and list_patches each target a unique resource. However, get_curated_build and recommend_build both handle occasion-based queries, creating potential overlap for users asking about specific events like bachelorette parties.

Naming Consistency4/5

Names follow a consistent snake_case verb-noun style with verbs get_, list_, and recommend_. While not a single verb pattern, the choice of verb logically matches the operation (get for specific info, list for collections, recommend for open-ended discovery), making the convention predictable.

Tool Count5/5

With 6 tools, the server is well-scoped for its purpose as a Patchistry assistant. Each tool covers a distinct functional area—contact, shipping, products, and recommendations—without unnecessary bloat or thin coverage.

Completeness5/5

The tool surface comprehensively covers the domain: users can retrieve contact details, shipping policy, product catalogs (canvases and patches), and curated or open-ended build recommendations. No critical operations appear missing for the server's stated purpose of answering customer inquiries and guiding purchases.