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coval-ai

Coval MCP Server

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by coval-ai

list_personas

Retrieve a list of simulated user personas with specified voice, language, background sound, and behavior prompts for use in evaluation runs.

Instructions

List personas (simulated users). Each has voice_name, language_code, background_sound (off/office/crowd/airport/etc), and behavior prompt. Required for runs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_sizeNoNumber of results per page (1-100, default 50)
page_tokenNoToken for retrieving the next page of results
order_byNoSort order (e.g., "-create_time" for newest first)
filterNoFilter expression (e.g., status="COMPLETED")
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions what a persona contains and that it's required for runs, but does not disclose behavioral traits like pagination, read-only nature, or any side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise (two sentences) and front-loaded with the action. It efficiently conveys the purpose without wasted words.

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

Completeness3/5

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

The description mentions key fields of personas and states 'Required for runs,' providing some context. However, it lacks information about return values or pagination behavior, especially given the absence of an output schema.

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%, so the parameter details are already in the schema. The description adds no additional meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it lists personas (simulated users) and specifies key fields like voice_name, language_code, etc. It distinguishes itself from sibling list tools (e.g., list_agents) by focusing on personas, but does not explicitly differentiate.

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?

The phrase 'Required for runs' implies usage context but does not provide explicit guidance on when to use vs. alternatives or when not to use.

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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