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MyEcommerceAI / AI4Ecommerce

commerce_pricing

Read-onlyIdempotent

Where prices live and what costs nothing Pricing: {"unit": "call", "price_usd": 0, "free_quota": "200 per day per IP", "note": "Keyed volume pricing is published at https://myecommerceai.com/pricing"}.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare this is a read-only, idempotent, non-destructive call. The description adds genuine value beyond that: it discloses that the price is zero, that there is a 200/day per-IP free quota, that volume pricing is keyed and external, and where that external schedule lives – exactly the rate-limit/auth-adjacent context an agent needs when planning call volume.

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 short, but the lead phrase is cryptic marketing phrasing rather than a front-loaded statement of function, and the content is dumped as a raw JSON blob inside prose. Both sentences carry information, so nothing is wasteful, but the structure is awkward for an agent parsing intent.

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 parameters and no output schema, the description need not explain return shape, and the embedded JSON does communicate the key values. However, it never clarifies whether the returned pricing is static or account-specific, nor what an agent should do with the external URL, which leaves the contract slightly underspecified.

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 and has no schema content to interpret, so there is nothing for the description to compensate for. Baseline 4 applies; the description correctly implies the call is parameterless and always returns the same schedule.

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 phrase "Where prices live and what costs nothing" gestures at a pricing-info tool, and the embedded JSON confirms it returns per-call cost, free quota, and a pricing URL. But the description never states a verb or resource plainly (e.g. "returns the pricing schedule for this API"), leaving the agent to infer purpose from the payload.

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 statement of when to call this versus commerce_about, commerce_margin_price, or usage_get. An agent deciding between a cost-lookup tool and a usage tool gets no routing signal, and no prerequisites or exclusions are given.

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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