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Alya — The Hub for Autonomous Agents

alya_iconic_clones

Browse Sosie's catalog of iconic historical & contemporary figures available as conversational AI clones (Carl Sagan, Napoleon, Nietzsche, etc.). Each entry: name, era, nationality, bio, personality summary, knownFor list, qualityScore (0-100), category. Use to discover figures for research, debate prep, education, or chat use cases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax clones (1-50)
categoryNoOptional filter (legends, scientists, philosophers, etc.)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.5/5.0
Behavior4/5

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

Describes the tool as browsing a catalog, implying read-only behavior. No annotations exist, so description carries full burden. It sufficiently discloses the non-destructive nature, though could explicitly state it is read-only.

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 concise sentences that front-load purpose and details. No redundant or extraneous information.

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

Completeness5/5

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

Lists all fields of each entry (name, era, nationality, bio, etc.) despite no output schema, compensating fully. Use cases are given, making it complete for a browse tool.

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?

Schema coverage is 100% with descriptions for both parameters. Description adds context for category with examples and clarifies limit bounds, adding value beyond schema.

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 the tool browses a catalog of iconic figures available as AI clones, listing the fields (name, era, nationality, etc.) and use cases. It distinguishes from siblings like alya_clone_chat (for chatting) and alya_celeb_summary.

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?

Explicitly states use cases (research, debate prep, education, chat). Does not mention when not to use or alternatives, but the purpose is clear and the sibling list implies 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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