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List supported captcha task types

get_supported_tasks

List captcha task types supported by CapMonster to determine which solving option fits your automation need.

Instructions

List captcha task types supported by CapMonster, sourced from the OpenAPI spec.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.11

TDQS

A3.7/5.0
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. The verb 'list' implies a read-only operation with no side effects, but this is not explicitly stated. It also doesn't mention authentication, rate limits, or response format. For a trivial list tool, the gap is minor, but there is no proactive disclosure.

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 one concise sentence, front-loaded with the action and resource. The phrase 'sourced from the OpenAPI spec' adds provenance but is not essential; it could be trimmed without loss, yet overall it remains efficient.

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?

For a zero-parameter, no-output-schema tool, the description adequately conveys that it returns a list of supported task types. It doesn't specify the exact format of the list, but the purpose is clear enough for an agent to understand what the tool provides. No critical information is missing for basic invocation.

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 has zero parameters, so a baseline of 4 is appropriate. The description adds no parameter information, but none is needed. The schema already fully documents an empty object.

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 a specific verb ('List') and resource ('captcha task types supported by CapMonster'). It is easily distinguished from siblings like get_balance or create_task, so there is no ambiguity about what the tool does.

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

Usage Guidelines3/5

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

The description implies usage: an agent would call this to discover which task types are supported before creating tasks. However, it does not explicitly state when to use it or mention alternatives, nor does it give exclusions. It's implied rather than explicit.

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