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alya_clone_chat

Send a message to an iconic character clone on Sosie (https://sosie.app — Father's celebrity/character voice-clone platform). Returns the clone's in-character reply. Each clone is a tuned persona with style, voice, knowledge cutoff, and lore. Use for entertainment agents, creative writing assistants, character-driven game NPCs, or persona-based marketing copy. Premium ($0.05/message): proprietary tuned clones, not a generic LLM persona prompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cloneIdYesSosie clone id — discover via alya_iconic_clones
messageYesYour message to the clone (1-2000 chars)

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description bears full burden. It explains that each clone is a tuned persona with style, voice, knowledge cutoff, and lore, and that returns are in-character. It also discloses premium pricing. No contradictions. It could add error handling details, but for a read-like chat tool, this is adequate.

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?

The description is succinct with no wasted words. It starts with the core action, then explains clone characteristics, use cases, and pricing in a logical flow. Every sentence is informative and earns its place.

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?

For a tool with 2 simple parameters and no output schema, the description covers all necessary aspects: purpose, return type, parameter discovery (cloneId via sibling), use cases, and pricing. It is complete for the tool's complexity.

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 clear descriptions. The description adds value beyond the schema: it explains that clones are from Sosie, are iconic character clones, and not generic LLM personas. This enriches meaning for both cloneId and message.

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's action: 'Send a message to an iconic character clone on Sosie... Returns the clone's in-character reply.' It specifies the verb (send message), resource (iconic character clone), and outcome (in-character reply). The mention of alya_iconic_clones for discovering cloneId differentiates it from that sibling tool.

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 description lists specific use cases: 'entertainment agents, creative writing assistants, character-driven game NPCs, or persona-based marketing copy.' It also hints at when not to use (not for factual queries due to persona nature) and points to alya_iconic_clones for setup. It lacks explicit alternatives or exclusions but provides strong 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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools have distinct purposes and clear descriptions, but there is some potential confusion among the four Polymarket-related tools (categorize, edge, signals, top_traders) and among the multiple 'alya_' prefixed tools that query different data sources.

Naming Consistency3/5

Naming patterns are mixed: some tools use 'alya_' prefix, others use action-based names like 'batch_calibrate' or 'image_gen', and YouTube tools all start with 'youtube_'. The inconsistency in prefixes and verb styles makes the set less predictable.

Tool Count2/5

32 tools is high for an MCP server, and they span a wide, unrelated set of domains (Polymarket, YouTube, gemology, weather, earthquakes, health, celebrity, etc.), making the surface feel bloated and unfocused.

Completeness2/5

Each domain has incomplete coverage: Polymarket lacks trade execution, YouTube automation depends on external OAuth, health tools only offer diagnosis and drug interactions without follow-up, and other domains have minimal tooling. The server feels like a collection of one-off features rather than a coherent surface.

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