pochta_delivery
Пакет «Доставка Почты России»: адрес, индекс, отделение, стоимость и срок одним платежом — 5 сервисов в одном. $0.04 USDC
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| args | Yes | ||
| extra | Yes |
Пакет «Доставка Почты России»: адрес, индекс, отделение, стоимость и срок одним платежом — 5 сервисов в одном. $0.04 USDC
| Name | Required | Description | Default |
|---|---|---|---|
| args | Yes | ||
| extra | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Since no annotations are provided, the description carries the full transparency burden. It usefully discloses a $0.04 USDC payment and a one-payment bundle structure. However, it does not state whether the operation is read-only, whether all five services are actually invoked, or what other side effects or prerequisites exist.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loads the bundle name and contents; the price is essential information. It loses one point because the marketing-style phrasing is not an invocation specification, but no words are wasted.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with an opaque two-object schema, no output schema, and no annotations, this description is far too incomplete. It does not explain what goes into args/extra, what the response contains, or what preconditions apply, making correct invocation impossible.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero description coverage and exposes only opaque args/extra objects. The description never maps 'адрес, индекс, отделение, стоимость, срок' to specific parameters or explains how to structure the request. An agent has no way to know what values to supply.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a 'Доставка Почты России' bundle and lists five covered services (address, index, office, cost, delivery time), so it is more than a tautology. However, it lacks an action verb: it does not say whether the tool returns data, purchases a bundle, or executes several service calls. The actual operation remains ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase '5 сервисов в одном' implies this tool is the combined option when multiple delivery-data services are needed, and the price distinguishes it from the individual sibling tools. There are no explicit when-to-use or when-not-to-use instructions and no named alternatives, so the agent must infer routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The server splits cleanly into INN, Pochta, and RU research domains, and most tools have a distinct purpose. The main confusion risk is pochta_delivery_time vs pochta_tariff, since tariff also includes delivery time, and pochta_offices vs pochta_zip when both are used for index lookup.
Names are consistently lowercase snake_case with clear domain prefixes: inn_, pochta_, ru_. However, the naming is not perfectly uniform because some names are verbs like lookup/track/search, while others are nouns like offices/tariff/zip.
11 tools is a reasonable scope for three covered areas: Russian company lookup, postal services, and Cyrillic search/research. The count is not excessive, but there is enough similarity between a few tools that the set could be slightly trimmed without losing capability.
The Pochta domain is well covered: address normalization, tariffs, delivery times, offices, and tracking are all present. For a read-only RU data API, no critical dead ends are obvious, though the broad 'RU data' scope could plausibly include more data sources beyond INN, postal, and web search.