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List products

list_products
Read-onlyIdempotent

List the software products that have a page on Friction, most-documented first, with counts of reports, recurring themes and sources. Optionally filter by category slug and by a name or domain fragment.

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_products"
  }
}

Input Schema

NameRequiredDescriptionDefault
qNoPart of a product name or domain.
limitNoHow many products to return (default 50).
offsetNoHow many products to skip (default 0).
categoryNoCategory slug, for example analytics.

Output Schema

NameRequiredDescriptionDefault
noteNo
totalYes
offsetYes
productsYes
returnedYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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 real behavioral context beyond them: results are ordered most-documented first and include counts of reports, recurring themes and sources. It does not mention pagination behavior, though the schema documents limit/offset.

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 dense sentence with the primary behavior front-loaded and the filtering note trailing, with no filler. The clause about returned counts is partly redundant given an output schema exists, which is the only wasted content.

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?

With an output schema, full schema coverage and complete annotations, the description only needs to convey purpose, ordering and filter intent, which it does. Pagination defaults and the absence of a total-count return are the only minor omissions, and both are recoverable from structured fields.

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

Parameters3/5

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

Schema description coverage is 100%, so all four parameters are already documented in the schema, and the description adds no format or syntax detail beyond naming the category-slug and name/domain filters. The limit and offset parameters are not addressed in the description at all.

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 the software products that have a page on Friction') plus the ordering and aggregate fields returned, so an agent knows exactly what it gets. It does not explicitly contrast with siblings get_product_summary or search_items, leaving the differentiation to inference from the resource name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The sentence 'Optionally filter by category slug and by a name or domain fragment' implies when the filters are useful, which is modest usage guidance. There is no statement of when to prefer this over search_items or get_product_summary, and no preconditions or exclusions.

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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