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Look up a store

get_store
Read-only

What Botsket knows about a store, including whether an AI agent can check out there.

Input Schema

NameRequiredDescriptionDefault
domainYesStore domain, e.g. 'candlewic.com'

Output Schema

NameRequiredDescriptionDefault
urlYes
nameYes
pageYes
domainYes
productsYes
blocks_agentsYesShopping agents the store turns away
agent_checkoutYes
catalog_crawled_atYes
agent_checkout_noteYes
agent_checkout_meaningYes
agent_checkout_tested_atYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description adds useful context about the agent-checkout attribute being included in the response, but says nothing about behavior for unknown domains, lookup failures, or freshness of the data.

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 front-loaded sentence with no filler or repetition. Every clause carries information, notably the checkout-capability hint.

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?

An output schema exists, so return values needn't be described, and there is only one simple parameter. Still, 'what Botsket knows' is left undefined, leaving the agent unsure whether the response supports downstream decisions without an extra call.

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% and the single 'domain' parameter already carries a concrete example ('candlewic.com'). The description adds no additional semantics about the domain input (format normalization, subdomains, URL vs bare host), so baseline 3 applies.

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

Purpose3/5

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

The description identifies the resource (a store) and one concrete payload element ('whether an AI agent can check out there'), making the intent reasonably clear. However, 'What Botsket knows about a store' is vague about what data is actually returned, and it never distinguishes this tool from get_offer or search_products.

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

Usage Guidelines2/5

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

There is no guidance on when to call this versus siblings like get_offer or search_products, and no prerequisites or exclusions. Usage is only inferable from the tool name and the mention of agent checkout capability.

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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