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Tendrils — live commerce tools for AI agents

get_product_ar_model

Provides Apple QuickLook (.usdz) and Android (.glb) 3D augmented reality model placement links.

Input Schema

NameRequiredDescriptionDefault
product_handleYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations supplied, the description carries the full behavioral burden. It discloses the return artifact (platform-specific link URLs), which is useful, but says nothing about permission/auth needs, what happens when a product has no AR model, whether the call is read-only, or whether both platform links are always present.

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

Conciseness4/5

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

One sentence, no filler, and the most informative detail (the two output formats) is front-loaded. It is efficiently sized for a simple tool, though the single-sentence format leaves no structure for guidance or caveats.

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?

The tool is simple (one required parameter, no output schema, no nested objects), so the description covers the core deliverable adequately. However, for a zero-annotation tool it omits failure behavior and parameter expectations that an agent would need to invoke it confidently.

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

Parameters2/5

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

Schema description coverage is 0% and the description never mentions the single required parameter. It does not clarify whether product_handle is a URL slug, numeric ID, or store-specific identifier, nor how lookups fail, so it adds no meaning beyond the bare schema.

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 resource (3D augmented reality model placement links) and the concrete output formats (.usdz for Apple QuickLook, .glb for Android), which clearly separates it from every listed sibling tool (details, comparison, checkout, room planning). It stops short of stating that it operates on a single product, but the purpose is unmistakable.

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 prerequisites (e.g., that a product must have an AR asset), and no reference to alternatives. An agent must infer that this is the AR-viewing path from the phrase 'augmented reality' alone.

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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