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List elements

list_elements
Read-onlyIdempotent

Elements (minerals, vitamins, protein) that have a LabelTruth page, with the number of products tracked in the whole catalogue.

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_elements"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, closed-world, and non-destructive, so the safety profile is covered. The description adds genuinely new behavioral context: only elements with a LabelTruth page appear, and the count spans the whole catalogue rather than a filtered subset. Ordering, pagination, and rough result size remain undisclosed.

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 compact sentence with zero filler, front-loading the resource and its qualifiers before the count detail. It is a sentence fragment rather than a complete statement, which slightly hurts readability but wastes nothing.

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?

For a zero-parameter read tool with rich annotations and no output schema, the description covers what the items are and what one of the returned fields means. It leaves the agent guessing about sort order, result size, and whether ids returned by this call feed into get_product.

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 baseline applies and there is nothing for the description to compensate for. The description correctly implies an unfiltered, whole-catalogue listing.

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 the resource ('elements') and clarifies it with concrete examples (minerals, vitamins, protein), plus states the inclusion rule ('that have a LabelTruth page') and the payload (product counts from the whole catalogue). It does not use an explicit verb or differentiate itself from the sibling list_forms, so it falls short of a 5.

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 guidance on when to call this versus list_forms, cheapest_in_form, or get_product, and no stated prerequisites or exclusions. Browsing use is only implied by the noun-phrase description.

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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