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Renderior

Visualizers

list_visualizers
Read-only

The kinds of products Renderior can show in a photo of the person's own space (furniture, sofas, lighting, patio furniture, vanities, front doors), each with its page. Use it to point someone to the right place to see a product at home before buying.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_visualizers"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. Beyond that, the description discloses the return shape — a set of product kinds, each carrying its page — which is useful since no output schema exists. It stops short of stating ordering, count, or link format.

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?

Two sentences: one defining the resource with useful concrete examples, one giving the usage rationale. No filler. The opening is a fragment rather than a verb-led statement, which costs a little front-loading crispness, but the content order is sensible.

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 zero-parameter, read-only listing with no output schema, the description supplies what an agent needs: what the items are, that each has a page, and why to fetch it. Only minor gaps remain (return size, link format), which are unlikely to affect correct invocation.

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 tool takes zero parameters, so there is no parameter semantics to explain; the baseline for a no-param tool applies. Nothing in the description misrepresents the call signature.

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 identifies the resource concretely — the catalogue of product categories Renderior can render in a customer's own room photo (furniture, sofas, lighting, patio furniture, vanities, front doors), each mapped to a page. It is a noun-phrase rather than an explicit verb ('list'), but the enumerations make the resource unmistakable and clearly distinct from the sizing-calculator siblings.

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?

The second sentence gives a concrete use case: point someone to the right place to see a product at home before buying. It does not name when-not-to-use or explicitly contrast with the sibling sizing tools, but the domain difference (catalogue browsing vs. dimension calculation) is clear enough that an agent can route correctly.

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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