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registry

A retailer's verified price policy

price_policy
Read-onlyIdempotent

Returns everything the Registry has verified about how a retailer handles price: whether it takes offers through Bidit, whether it price matches and on what terms, how it runs promotions, and its clearance page. Fields are null where nothing has been verified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
retailerYesRetailer name, domain or Registry slug

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so the description is free to add genuinely new information. It does: the enumeration of what is included per retailer, and critically the null semantics ('Fields are null where nothing has been verified'), which prevents an agent from misreading absence as a negative policy.

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?

A single sentence, front-loaded with the verb and resource, then a compact enumeration of covered areas, closing with the null-handling caveat. Every clause earns its place; nothing is repeated from the title or annotations.

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 no output schema, the description carries the burden of describing the return surface, and it does so by naming the four content areas and explaining null values. It stops short of stating whether results are per-retailer unique or how unverified-vs-negative states are otherwise represented, but the essentials are present.

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?

Only one parameter, and schema coverage is 100% — the schema already documents 'retailer' as accepting a name, domain or Registry slug. The description adds no format or disambiguation detail beyond that, which is the expected baseline when the schema carries the parameter documentation.

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 clear verb+resource ('Returns everything the Registry has verified about how a retailer handles price') and enumerates the specific sub-domains covered (Bidit offers, price-match terms, promotions, clearance page). The breadth distinguishes it implicitly from the narrower siblings, but it never names them, so an agent must infer the boundary itself.

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?

No explicit when-to-use or when-not-to-use guidance, and none of the siblings (will_price_match, can_make_offer, retailers_that_price_match) are mentioned. The comprehensive framing implies this is the general lookup versus the targeted siblings, which is usable but left to inference.

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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