Skip to main content
Glama
ssm82

Full VK MCP

vk_photos_get_user_photos

Retrieve photos in which a user is tagged. Filter by count, offset, sort order, and include likes information.

Instructions

Returns a list of photos in which a user is tagged. VK API method: photos.getUserPhotos. Tool name: vk_photos_get_user_photos. Section: photos. Access level: read.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idNoUser ID.
offsetNoOffset needed to return a specific subset of photos. By default, '0'.
countNoNumber of photos to return. Maximum value is 1000.
extendedNo'1' - to return an additional 'likes' field, '0' - (default)
sortNoSort order: '1' - by date the tag was added in ascending order, '0' - by date the tag was added in descending order
Behavior2/5

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

With no annotations, the description carries full burden. It discloses that it is a read operation ('Access level: read') and returns tagged photos, but fails to mention paging behavior, required permissions beyond read, or any side effects. It does not contradict annotations since none exist.

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 (tool name, method name, section) that does not add value for an AI agent. While not verbose, it wastes words that could be used for behavioral or usage guidance.

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?

For a tool with 5 parameters and no output schema or annotations, the description is incomplete. It does not explain required vs optional parameters (user_id is not required but implied), return format, or pagination behavior (offset/count).

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 coverage is 100% with all parameters described in the input schema. The description adds no new information beyond what the schema already provides, meeting the baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it returns a list of photos where a user is tagged, using a specific verb ('Returns') and resource ('photos in which a user is tagged'). This distinguishes it from sibling tools like vk_photos_get (which returns album photos) and vk_photos_get_all.

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_photos_get or vk_photos_get_all. There are no usage contexts, exclusions, or references to other tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ssm82/full-vk-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server