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List products

list_products
Read-onlyIdempotent

List products in the available archive: published catalog for HTTP, including local drafts for trusted stdio.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYesAvailable product keys

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "https://json-schema.org/draft/2020-12/schema",
      +  "additionalProperties": false,
      +  "description": "Structured result. Existing text or image content remains available in content.",
      +  "properties": {
      +    "result": {
      +      "description": "Available product keys",
      +      "items": {
      +        "description": "Published product key, or local draft key in trusted stdio",
      +        "type": "string"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "required": [
      +    "result"
      +  ],
      +  "type": "object"
      +}
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds a genuine behavioral trait beyond that: over HTTP only the published catalog is visible, while trusted stdio additionally surfaces local drafts — real context an agent needs to interpret results.

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?

A single efficient sentence with the core action front-loaded ("List products in the available archive"). The colon clause is dense and slightly cryptic, but nothing is padded or redundant.

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?

An output schema exists, so return values need not be described, and a zero-parameter read tool has little else to specify. The scope difference between transports is a useful addition; only the missing routing against sibling list_* tools keeps this from being fully complete.

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 the schema has nothing to explain and the baseline is 4. The description correctly introduces no parameter discussion, which is appropriate here.

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 and resource ("List products") and scopes it to "the available archive," which distinguishes it from the many get_* siblings. However, it never names or contrasts with the closest siblings (list_product_assets, list_product_requests, list_archived_assets), and the "published catalog for HTTP / local drafts for trusted stdio" clause is transport jargon that muddies rather than sharpens the purpose.

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 explicit when-to-use statement, no prerequisites, and no named alternative for retrieving product-related data. The HTTP-vs-stdio scope clause implies a usage condition but is opaque and left entirely to inference.

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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