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Buy newsletter emails

buy_emails
Read-onlyDestructive

Stripe's checkout for newsletter emails beyond the plan: $5 for each 10,000, used after the plan's emails, never expiring. The person chooses how many there. Give the person the address.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "site": "<site>"
    },
    "name": "buy_emails"
  }
}

Input Schema

NameRequiredDescriptionDefault
siteYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

The description adds useful commercial context beyond the annotations: $5 per 10,000 emails, credits never expire, and the quantity is chosen by the person in Stripe's UI. What it does not clarify is the actual mechanics — 'Give the person the address' hints at a returned URL but never says whether a charge is created immediately or only when the person completes checkout, and the annotations themselves are internally inconsistent (readOnlyHint=true alongside destructiveHint=true), which the description does nothing to resolve.

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?

The description is short and the purpose is front-loaded, which is good. But the second half is written in choppy, near-telegraphic fragments ('The person chooses how many there. Give the person the address.') that cost clarity without buying compactness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, one undocumented parameter, and no explanation of the return value or of the purchase lifecycle. For a tool that appears to initiate a monetary transaction, this leaves the agent without enough information to call it confidently or to warn the user what will happen.

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?

Schema description coverage is 0% and the sole required parameter 'site' is completely unexplained in both schema and description. An agent cannot tell whether 'site' is a site ID, a subdomain, or a URL slug, and the description's only other directive ('give the person the address') adds no parameter meaning.

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 does identify the resource (newsletter email credits purchased through Stripe checkout) and the pricing model, so the agent can tell roughly what the tool is for. However, the phrasing is fragmented — 'Buy newsletter emails' plus a price sentence — and it never distinguishes this from nearby billing siblings such as start_checkout or billing_link, which an agent must guess between.

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?

'Used after the plan's emails' implies the trigger condition, but there is no explicit when-to-use statement, no prerequisites, and no mention of the obvious alternative (billing_link or start_checkout) for payment flows. The agent is left to infer routing from context alone.

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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