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Genpio AI Livestream MCP

Genpio plans and prices

get_pricing
Read-onlyIdempotent

Return Genpio's four published plans: stream hours, hourly rate, monthly and yearly price in US dollars, storage, product limit and the yearly bonus of cloned voices and custom avatars. Enterprise is quoted by sales, and stream hours between Scale and Enterprise are a custom plan from Genpio's sales team. Also states that stream hours are counted per platform, how non-dollar buyers are billed, that there is no trial, and how to request the free demo. These prices may be quoted as returned.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish the safe read-only, idempotent, closed-world profile, so the bar is lower, and the description still adds real value: no trial exists, stream hours are counted per platform, non-dollar buyers have distinct billing, and prices may be quoted as returned. These are behavioral caveats an agent could not infer from structured fields.

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?

It is front-loaded with what gets returned, which is good, but the second half becomes a dense run-on mixing return fields with billing policy, the no-trial fact, sales routing, and the demo request path. Some of that earns its place, but the packing makes it hard to scan.

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?

With no output schema, the description carries the burden of describing returns and does so thoroughly, listing plan fields plus caveats about Enterprise/custom plans and billing. It is close to complete for a zero-parameter read tool, missing only any note about formatting or freshness of the quoted prices.

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, so per the rubric the baseline is 4; there are no arguments whose semantics need explaining, and the description correctly spends its words on returned content instead.

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 opens with a specific verb and resource ('Return Genpio's four published plans') and enumerates the exact fields returned (stream hours, hourly rate, monthly/yearly price, storage, product limit, bonuses). This is plainly distinguishable from siblings like genpio_overview, list_avatars, or service_status.

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?

Usage is implied by the name and content, and there is partial 'when-not' guidance: Enterprise is quoted by sales and mid-tier stream hours are a custom sales plan, so an agent learns some data is not obtainable here. However, it never states when to prefer this over genpio_overview or other catalog tools, and gives no explicit trigger conditions.

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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