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Free Commerce Radar fit, honest subscription pricing and agent-payment instructions

get_commerce_radar_offer
Read-onlyIdempotent

Buyer-intent discovery for retailer competitor-price/stock and autonomous product-change feeds. Returns true $29.90 Starter and $99.90 Pro plans, free real-URL compatibility preflight, PayPal subscription and one-time 30-day Base USDC options. Does NOT create invoices, make transfers, contact third-party agents or claim buyers exist.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint=false, closed-world), so the bar is lower, and the description still adds real scope detail: exactly what it returns (Starter/Pro pricing, free URL preflight, PayPal subscription and USDC one-time options) and an explicit list of actions it will not take. That negative scope goes beyond the annotations and helps the agent avoid expecting side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is compact at three sentences, but the front sentence is product marketing rather than the tool's function, and phrases like 'true $29.90', 'honest subscription pricing' and 'claim buyers exist' are promotional filler that do not help an agent select or invoke the tool. Front-loading the actual return content would be stronger.

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 parameters and no output schema, the description carries the burden of saying what comes back, and it does list the returned artifacts (plan pricing, compatibility preflight, payment options). For a no-arg offer/quote tool this is largely sufficient, though a clearer statement of the tool's role relative to the purchase siblings would close the remaining gap.

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?

The tool takes zero parameters, so per the rubric the baseline is 4. There is nothing for the description to disambiguate, and it correctly does not invent argument guidance.

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 opening sentence describes the underlying product ('Buyer-intent discovery for retailer competitor-price/stock') rather than the tool's action, but the second sentence does clarify that it returns plans, preflight and payment options. It never names or distinguishes itself from close siblings like get_purchase_instructions or list_products, so an agent must infer the boundary. Purpose is inferable but not stated with a clean verb+resource.

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 closing sentence supplies negative scoping ('Does NOT create invoices, make transfers, contact third-party agents'), which implies this is a read-only offer/quote step rather than a purchase action. However, it gives no positive when-to-use trigger or pointer to the sibling (e.g. get_purchase_instructions, execute_paid_product) that should follow. Usage is implied, not directed.

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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