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Get WeProxy package prices

get_pricing

Return package rows for one published product. Prices are formatted the same way as the site. Pass a country code to keep only that location.

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": {
      "slug": "<slug>"
    },
    "name": "get_pricing"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYes
localeNo
countryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose two genuine traits: only published products are returned, and prices are pre-formatted as site strings (not raw numbers). It omits error/empty behavior for unknown or unpublished slugs and any permission or rate-limit context, leaving meaningful gaps for a read tool with zero annotation coverage.

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, front-loaded with the core purpose, with no filler. It could tighten the country sentence into a parameter note, but nothing is wasted.

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, 'package rows' and site-formatted prices give a rough return picture, which is adequate. However, the missing locale semantics and unknown-slug behavior leave an agent without enough to call this correctly in all cases.

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%, so the description must compensate, yet it explains only 'country' (a location filter) and hints at slug ('one published product'). The 'locale' enum of five languages is never mentioned, so an agent cannot tell whether it changes price formatting, language, or currency — a significant undocumented parameter.

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 uses a specific verb ('Return') and resource ('package rows for one published product'), so an agent knows this fetches pricing rather than product metadata. It implicitly separates itself from list_products, though it never names that sibling explicitly.

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?

'Pass a country code to keep only that location' gives one piece of conditional usage, implying country is optional filtering. There is no guidance on when to choose this over list_products or recommend_proxy, and no stated prerequisites.

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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