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MM7 Company MCP

get_1c_license_captcha

Fetch a portal.1c.ru captcha image for license PIN / owner requests. Returns captcha_id + image_base64. Then call request_pin_codes_state, request_license_owner_data, or request_reserve_pin_code.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_1c_license_captcha"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the two return fields (captcha_id, image_base64) and the dependency chain, but says nothing about captcha expiry, re-fetch requirements, auth/portal session needs, or rate limits that matter for a fetched token-like resource.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, zero filler: purpose front-loaded, return values second, next-step routing last. Nothing redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, yet the description still names the returned fields and, more importantly, supplies the call-order context the schema cannot express. Missing only operational caveats (expiry, retries, auth), which is a modest gap for a simple fetch.

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

Parameters4/5

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

The tool takes zero parameters and schema coverage is 100%, so there is nothing for the description to clarify. Baseline 4 applies; no misleading parameter claims are made.

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?

States a specific verb (Fetch) and resource (portal.1c.ru captcha image) plus the scope (license PIN / owner requests), and explicitly names the three follow-up tools. An agent can place it in the workflow without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The sentence 'Then call request_pin_codes_state, request_license_owner_data, or request_reserve_pin_code' makes the sequencing and downstream alternatives explicit, which is unusually clear for a prerequisite tool. It stops short of stating when the captcha is *not* needed, but the triggering context (license PIN / owner requests) is given.

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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