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ARC (arcreport.ai): can an agent reach checkout?

google_checkout_readiness

Read saved public Google agentic checkout readiness checks for a store. Free; no new scan or paid calls. Merchant Center feed eligibility cannot be checked from outside. Not Google approval or certification.

Input Schema

NameRequiredDescriptionDefault
hostYesStore host or URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses cost (free), that no new scan or paid calls are made, what cannot be verified (Merchant Center feed eligibility), and that results are not Google approval or certification. It omits how fresh or how scoped the returned checks are, keeping it out of 5 territory.

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?

Four short sentences, front-loaded with the core purpose and followed by cost and limitation caveats. Every sentence carries a distinct constraint, though the caveat list is dense enough to be slightly more informational than the core action warrants.

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?

For a one-parameter, annotation-free, no-output-schema retrieval tool, the description covers purpose, cost model, and key limitations well. Its main gap is not characterizing the nature or freshness of the returned 'saved checks', which an agent might want when deciding between this and a live scan.

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 coverage is 100% for the single 'host' parameter, so the schema already documents it as 'Store host or URL'. The description adds no format, normalization, or example detail beyond that, so the baseline 3 applies.

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 states a specific verb and resource: 'Read saved public Google agentic checkout readiness checks for a store.' The word 'saved' crucially marks it as retrieval of existing results rather than a trigger for a new scan, which distinguishes it from scanning siblings like precheck or can_agent_checkout. It stops short of naming a sibling explicitly, so a 4 rather than 5.

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?

It gives clear usage context: free, no new scan, no paid calls, implying the tool is for inspecting existing readiness data rather than initiating analysis. Exclusions are present (Merchant Center feed eligibility can't be checked, not an approval/certification), though it doesn't route the agent to a specific alternative tool for those cases.

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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