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user_captcha_get

Fetches captcha records for a user. Supports pagination via limit and offset, and admin acting on behalf of a user via user_id.

Instructions

GET /user/captcha Получение капчи Тег: Капча Спека: user

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoМакс. кол-во записей
offsetNoСмещение (пропуск записей)
user_idNoadmin acts on behalf of this user

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

No annotations exist, so the description must carry full behavioral burden. It doesn't explain whether this is a read-only operation, what a CAPTCHA object contains, whether it requires authentication, if it has rate limits, or how it relates to subsequent verification steps. Only the HTTP method (GET) implies a safe read.

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 compact but consists of labeling fragments (endpoint, tag, spec) rather than well-structured prose. It is front-loaded with the route, which is useful, but feels terse and mechanical.

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 no annotations, no output schema, and three parameters, the description is far too sparse. It doesn't explain what a CAPTCHA response looks like, how pagination applies to CAPTCHA retrieval, or the role of user_id for admin delegation. The agent would need to infer nearly all behavioral context.

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 100%, so the schema already documents limit, offset, and user_id with Russian descriptions. The tool description adds no parameter-level meaning. Baseline 3 applies when the schema handles parameter documentation completely.

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

Purpose3/5

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

The description identifies the operation as fetching a CAPTCHA via GET /user/captcha. This is a specific verb+resource, but the description repeats the tool name and route rather than articulating a distinct purpose in the described language. It's clearer than a pure tautology but adds little beyond the endpoint name.

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?

There is no guidance on when to use this tool versus the many siblings like user_auth_post or user_passkey_get. The tag 'Капча' hints at a category but provides no actionable when/when-not conditions or alternatives.

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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