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Help Center: search & read

account_help
Read-only

Search and read AMZ Vault's Help Center - the same articles users see at /help: setup, connections and data semantics, per-page platform guides, AI/MCP setup, workforce, business playbooks, and troubleshooting. action=index lists categories and articles; action=search takes q; action=get takes article (category/slug from index or search). Use it to answer how-do-I and why-does-the-number questions about the PLATFORM itself, and cite the article path so the user can read it at /help/. (Account DATA questions use the data tools, not this.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNosearch: the question or keywords
actionNoindex (default) | search | get
articleNoget: 'category/slug'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds useful behavioral context: the articles mirror what users see at /help, the actions produce category lists, search results, or article content, and the output should be cited with a /help/<article> path. It does not detail exact return formatting, but this is minor for a read-only help tool.

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?

The description is three sentences and front-loads the core action before listing details. The category enumeration is somewhat long but informative, and every clause earns its place by either defining scope or call semantics.

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?

There is no output schema, but the description implies the outputs: article categories, search results, and article bodies with a cite-able path. It also covers the key exclusion (account data questions). The only missing specifics are default-action behavior and error handling, both minor given the schema and annotations.

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?

Schema description coverage is 100%, so the baseline is 3, but the description adds meaning beyond the schema by explaining exactly how each action uses parameters: index lists categories/articles, search takes q, and get takes a category/slug sourced from index or search. It also clarifies the provenance of articles via /help.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Search and read'), a concrete resource (AMZ Vault's Help Center), and enumerates the article categories, making the tool's purpose unmistakable. It also distinguishes itself from the large sibling list by explicitly stating that account data questions belong to the data tools, not this one.

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

Usage Guidelines5/5

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

It explicitly states when to use the tool: 'answer how-do-I and why-does-the-number questions about the PLATFORM itself.' It also gives a clear exclusion: 'Account DATA questions use the data tools, not this.' The action-specific guidance for index/search/get further clarifies usage.

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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