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Find similar listings

similar_items
Read-onlyIdempotent

Find listings that look and read like a given one, to offer alternatives or comparisons. Pass a product id from search_catalog or get_item.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
product_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that similarity is based on how listings 'look and read,' but omits any behavioral detail like how many results are returned or how the default limit behaves. With annotations carrying the safety burden, this is adequate but thin.

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?

Two tight sentences with no filler, purpose front-loaded and the argument-source hint following. Appropriately sized for the tool's simplicity, though not maximally economical given the unexplained limit parameter.

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 explained. For a 2-parameter read-only tool the description covers purpose, use case, and argument provenance; the only real gap is the undocumented limit parameter, which the schema also leaves undescribed.

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 0%, so the description must compensate. It explains where product_id comes from (search_catalog or get_item), which adds real value for that parameter, but the 'limit' parameter (default 8) is left entirely unexplained in both schema and description.

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: 'find listings that look and read like a given one.' The phrase 'look and read like' distinguishes it from search_catalog (query-based) and get_item (single fetch), giving the agent a clear sense of what makes this tool unique.

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?

Gives a use case ('to offer alternatives or comparisons') and tells the agent where the argument comes from ('a product id from search_catalog or get_item'), which is genuinely helpful. However, it offers no explicit when-not guidance or comparison against siblings like search_catalog.

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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