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ssm82

Full VK MCP

by ssm82

vk_users_get

Retrieve detailed user profiles from VK, including fields like contacts, education, and online status. Use user IDs or screen names to specify which users to fetch.

Instructions

Returns detailed information on users.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idsNoUser IDs or screen names ('screen_name'). By default, current user ID.
fieldsNoProfile fields to return. Sample values: 'nickname', 'screen_name', 'sex', 'bdate' (birthdate), 'city', 'country', 'timezone', 'photo', 'photo_medium', 'photo_big', 'has_mobile', 'contacts', 'education', 'online', 'counters', 'relation', 'last_seen', 'activity', 'can_write_private_message', 'can_see_all_posts', 'can_post', 'universities', 'can_invite_to_chats'
name_caseNoCase for declension of user name and surname: 'nom' - nominative (default), 'gen' - genitive , 'dat' - dative, 'acc' - accusative , 'ins' - instrumental , 'abl' - prepositional
from_group_idNo
Behavior2/5

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

No annotations are present, and the description does not disclose behavioral traits such as authentication requirements, rate limits, or what 'detailed' information includes. For a read operation, the agent has no safety cues beyond the generic description.

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?

The description is a single sentence with no redundant words. It is concise but lacks the depth needed for full clarity; however, brevity without waste earns a high score.

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?

The tool has four parameters and no output schema, yet the description offers no details about the returned data structure or behavior. Given the moderate complexity, the description is insufficient for an agent to invoke the tool confidently without external knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema covers 75% of parameters with descriptions, and the tool description adds no additional meaning. The description does not elaborate on parameter usage, but the schema itself is fairly descriptive for three out of four parameters, so the description provides marginal added value.

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 clearly states the tool returns detailed user information, which is specific and understandable. However, it does not differentiate from sibling tools like vk_users_get_followers or vk_users_search, which also return user data but with different scope.

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?

No guidance is provided on when to use this tool versus alternatives such as vk_users_get_followers, vk_users_search, or vk_users_get_subscriptions. The lack of context about its intended use case or exclusions leaves the agent without criteria for selection.

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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