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Get Youshow Interpreter competitor comparisons

get_comparison
Read-only

List the 20 public comparisons between Youshow Interpreter and translation or meeting tools, or read one full comparison by slug. Covers Google Translate, Microsoft Translator, DeepL, Zoom, Tencent Meeting, Feishu, DingTalk, WPS and others.

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_comparison"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugNoComparison slug, for example google-translate, microsoft-translator, deepl-voice or zoom-translated-captions. Omit to list every comparison.
limitNoMaximum comparisons to list when no slug is given. Defaults to 20.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds that the dataset is fixed at 20 public comparisons and that a slug returns a 'full' comparison, but says nothing about what a comparison record contains, result ordering, or behavior when a slug is unknown – gaps that matter for an agent deciding whether the response is sufficient.

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?

Two sentences, zero filler, with the primary list/read duality front-loaded before the coverage list. The competitor enumeration earns its place by letting the agent match user queries about those specific tools.

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 two-parameter read-only tool with full schema coverage and no output schema, the description covers purpose, modes, and dataset scope. The only shortfall is no hint about the shape or size of a returned comparison, which would help an agent judge whether one call is enough.

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% and both parameters are documented in the schema, including a maximum of 20 on limit and slug examples. The description only restates the slug/list duality, so the baseline 3 applies with no meaningful semantic addition.

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?

Specific verbs (list / read one) applied to a specific resource (public comparisons between Youshow Interpreter and other tools), plus the exact cap of 20 and a concrete coverage list (Google Translate, Zoom, Feishu, etc.). An agent can tell this apart from get_pricing_plans or get_product_overview 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 two invocation modes are stated explicitly: omit slug to list all, supply a slug to read one full comparison. It gives a clear context for use but does not route against siblings (e.g. use get_product_overview for general product info instead), so it stops short of full alternative guidance.

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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