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ssm82

Full VK MCP

vk_users_get

Fetch detailed VK user profiles by user ID or screen name. Optionally specify profile fields like name, birthdate, city, online status, and more.

Instructions

Returns detailed information on users. VK API method: users.get. Tool name: vk_users_get. Section: users. Access level: read.

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 provided, so the description carries the full burden. It does not disclose any behavioral traits such as authentication requirements, rate limits, or side effects. The description only states a basic read operation.

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 but includes redundant information like the VK API method, tool name, section, and access level, which do not add value. It could be more concise while preserving the essential purpose.

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, so the description should explain what 'detailed information' includes. It does not list typical fields or clarify the structure of the response, leaving the agent underinformed.

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?

Schema description coverage is 75%, and the schema itself provides adequate descriptions for user_ids, fields, and name_case. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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 information on users, and the name aligns with the purpose. However, it does not differentiate from sibling tools like vk_users_get_followers or vk_users_search, which also retrieve user data.

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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no exclusions. The agent must infer usage solely from the name and purpose.

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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