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List eligible retailers

list_retailers
Read-only

List currently eligible/visible retailers. Ineligible retailers are omitted entirely (fail-closed, ADR-005). Descriptive directory only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and openWorldHint. The description adds that ineligible retailers are omitted entirely (fail-closed) and describes it as a 'descriptive directory only', providing behavioral context beyond annotations. No contradictions.

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?

Two concise sentences. The first sentence delivers the core purpose, the second adds behavioral nuance. No extraneous information. Front-loaded efficiently.

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?

Given no output schema, the description could be more explicit about the return format (e.g., list of retailer IDs and names). It calls it a 'descriptive directory', which is somewhat vague. However, for a simple list tool with good annotations, it is marginally adequate.

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?

There are zero parameters, so schema coverage is 100%. The baseline for 0 parameters is 4. The description adds no parameter-specific details, which is acceptable given no parameters exist; it focuses on what the output represents.

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?

Description clearly states the tool lists currently eligible/visible retailers. The verb 'list' and resource 'retailers' are specific, and the qualifier 'eligible/visible' adds precision. Indirectly distinguishes from siblings like get_market_snapshot or search_offers by focusing on a simple directory listing.

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 description implies usage: when you need the directory of eligible retailers. However, it does not explicitly state when not to use it or suggest alternatives like get_market_snapshot for market-level data or search_offers for filtered results. Guidance is minimal.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: market statistics, product lookup, caliber directory, retailer directory, and offer search. There is no meaningful overlap between get_product and search_offers because one is a direct single-item fetch and the other is a multi-result search.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: get_ for single-item fetches, list_ for enumerations, and search_ for queries. The naming is uniform and predictable.

Tool Count5/5

Five tools is well-scoped for a read-only market data service. Each tool covers a necessary capability without redundancy or bloat.

Completeness5/5

The tool set provides full coverage for its descriptive market-intelligence purpose: listing reference data (calibers, retailers), searching/fetching products and offers, and retrieving aggregate price statistics. No obvious CRUD or operational gaps exist because the service is explicitly read-only.

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