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Lovora

List Lovora companions

list_companions
Read-only

The published catalogue of Lovora AI companions (all fictional adults): name, age, style, personality, short description and the URL to chat with each.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results (default 20).
styleNoFilter by style: realistic women, anime-style women, or men.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already show readOnlyHint=true, and the description adds useful behavioral context: results come from the 'published catalogue' (closed set, consistent with openWorldHint=false) and all entries are fictional adults. It does not disclose pagination/ordering, but with annotations covering the safety profile and the description covering the return fields, this is not a serious gap.

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?

A single sentence that is front-loaded with the core purpose and then lists the return fields, with no wasted words or duplication of schema content.

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 simple read-only list tool with only optional parameters, the description explains exactly what data is returned, and the schema covers parameter details. With no output schema, this description is enough for an agent to call the tool correctly.

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%: both limit and style are fully documented in the schema, so the description does not need to repeat them. The description adds no parameter-specific meaning, so the baseline of 3 is appropriate.

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 names a specific action (list) and resource (the published catalogue of Lovora AI companions) and enumerates the returned fields (name, age, style, personality, short description, and chat URL). This clearly differentiates it from the sibling tools, which all concern other domains.

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 gives clear context: it is the catalogue-listing tool, so an agent would use it when the task is to retrieve companion profiles rather than pricing, docs, or content rules. It does not explicitly name alternatives or give exclusion criteria, but sibling domains are distinct enough that usage is easy to infer.

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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