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list_collections

Read-onlyIdempotent

List all collections OR get a specific collection with its items. Without id: returns all collections with counts/values. With id: returns that collection's metadata and all items inside (with optional filters).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoCollection ID — if provided, returns that collection with all its items. If omitted, lists all collections.
sortNoSort order (only when id is provided, default: newest)
tagsNoFilter items that have ALL these tags (only when id is provided)
statusNoFilter by decision status (only when id is provided)
platformNoFilter by platform domain name, e.g. "amazon", "ebay" (only when id is provided)
max_priceNoMaximum price filter (only when id is provided)
min_priceNoMinimum price filter (only when id is provided)
created_byNoFilter by who added: "ai" for AI-added items (only when id is provided)

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds behavioral context: it explains the two modes and what is returned ('counts/values' vs 'metadata and all items inside'). This goes beyond the annotations and helps the agent predict the tool's output shape.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence with two clear conditional clauses. It front-loads the main verb and resource, and there is zero wasted text. It is concise yet informative.

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?

The tool has 8 optional parameters and no output schema. The description covers the core behavior and return content for both modes. While it doesn't describe the exact response structure for items or collections, the schema and the phrase 'optional filters' provide sufficient context for an agent to invoke the tool correctly. It is complete enough for a read-only list/get operation.

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%, with each parameter explained in the schema (e.g., 'only when id is provided'). The description adds only a generic mention of 'optional filters,' which adds little meaning beyond the schema. Since the schema already carries the parameter semantics, a baseline of 3 is appropriate.

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 clearly states the tool's dual purpose: 'List all collections OR get a specific collection with its items.' It uses specific verbs ('List', 'get') and identifies the resource ('collections'), making it distinct from sibling tools like get_item or search_saved. However, it doesn't explicitly contrast itself with siblings, so I deducted one point.

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 description provides clear usage context: 'Without id: returns all collections... With id: returns that collection's metadata and all items inside.' This tells the agent when to omit or provide the id, and that filters apply only with id. It doesn't mention exclusions or alternatives explicitly, but the guidance is clear and practical.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes with no obvious duplicates. The only potential overlap is between update_item and update_price, but the descriptions clarify that update_price is specifically for manual price corrections with history tracking.

Naming Consistency5/5

All tool names follow the snake_case verb_noun pattern consistently (e.g., add_item, create_collection, get_item_graph). Slight deviations like add_to_collection and ping are still predictable and conventional.

Tool Count3/5

With 23 tools, the server sits in the heavy range (16-25). While each tool serves a distinct purpose, the count is higher than typical for a shopping-save app and may feel overwhelming, though not excessive.

Completeness4/5

The tool surface covers full CRUD for items and collections, relations, history, activity, and utilities. Minor gaps exist—such as no dedicated 'move item between collections' tool—but workarounds are possible using existing tools.

Resources