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

product_data_check

Read-onlyIdempotent

Free latest saved product data and return/shipping policy check from the store's pages and structured data. Reads history only; no store fetch or model call. A missing result is not a zero.

Input Schema

NameRequiredDescriptionDefault
urlNo
hostNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior4/5

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

Annotations already declare the safe read-only, idempotent, non-destructive, closed-world profile. The description goes beyond them by disclosing that it consults stored history only (no live fetch, no model call) and by warning that a missing result is not a zero — genuinely useful interpretation guidance the agent would otherwise guess wrong about.

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?

Three short sentences, each carrying distinct information (what it reads, what it does not do, how to read an empty result), with the core purpose front-loaded. Slightly awkward grammar in the opening clause but no filler.

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?

With no output schema and only mild annotation coverage, the description adequately covers behavior and result interpretation, and the read-only annotations cover safety. The gap is parameters: url vs host is unexplained for a tool whose only inputs are those two, leaving the agent unsure how to target the check.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Two parameters (url, host) with 0% schema description coverage, and the description never mentions either one, their relationship, or whether both are needed. With this coverage level the description should compensate and it does not.

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 names the resource (saved product data plus return/shipping policy) and the source (store's pages and structured data), so an agent can grasp roughly what it returns. However, the framing is a noun phrase rather than a clear verb, and it never distinguishes itself from the many sibling store/agent analysis tools. Purpose is understandable but muddled.

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?

It states constraints ('reads history only; no store fetch or model call') which hint at when it is appropriate, but there is no explicit when-to-use vs alternative and no siblings are referenced. An agent gets a boundary condition, not real routing guidance.

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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