pochta_zip
Почта России: адрес отделения и населённый пункт по индексу. $0.01 USDC
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| args | Yes | ||
| extra | Yes |
Почта России: адрес отделения и населённый пункт по индексу. $0.01 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?
There are no annotations, so the description carries the full burden. It does usefully disclose that this is a paid lookup ($0.01 USDC) and implies a read-only address retrieval operation, but it does not explain response format, live API behavior, authentication needs, errors, or rate limits.
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 extremely concise and front-loaded: the core behavior is stated in the first sentence, and the price in the second sentence. Every token earns its place and the structure wastes no space.
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?
With no output schema, no annotations, and an open-ended args schema, the description leaves too much unsaid. It is too thin to fully equip an agent to construct a correct call or distinguish it from the related Russian Post tools beyond the zip-code hint.
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?
Schema description coverage is 0%, and the schema is a generic args/extra wrapper with additionalProperties, providing no meaningful parameter documentation. The description's phrase 'по индексу' indicates that a postal code is the key concept, but it never identifies expected keys, types, or which values go into 'args' versus 'extra'.
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 specific resource ('Почта России'), a specific output ('адрес отделения и населённый пункт'), and the lookup key ('по индексу'). It is clearly distinguishably a postal-code lookup at the description level, though it does not explicitly contrast itself with sibling tools.
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?
No usage guidance is provided beyond the bare lookup scenario. The description never says when to prefer this over pochta_address, pochta_track, or pochta_offices, nor does it give prerequisites, exclusions, or alternative selection criteria.
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.