Skip to main content
Glama
coval-ai

Coval MCP Server

Official
by coval-ai

get_persona

Retrieve detailed configuration of a persona, including voice name, language, background sound, behavior prompt, wait seconds, and conversation initiation mode.

Instructions

Get persona details: voice_name, language_code (BCP-47), background_sound, persona_prompt (behavior), wait_seconds, conversation_initiation (speak_first/wait_for_user).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
persona_idYesThe unique ID of the persona to retrieve. Get this from list_personas.
Behavior3/5

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

With no annotations provided, the description carries full burden. It states that the tool retrieves details and lists fields, but does not disclose potential side effects, authentication needs, rate limits, or any constraints. For a simple read operation, this is adequate but not thorough.

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 a single sentence efficiently listing the returned fields. It is concise with no extraneous words, though a bulleted list could improve readability. Overall, it earns its place.

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?

Given the low complexity (1 parameter, no output schema, no nested objects), the description is fairly complete by listing the returned fields. However, it does not specify the output format (e.g., JSON object) or any additional context, leaving room for minor ambiguity.

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% (persona_id is fully described in the schema). The description adds no additional meaning beyond what the schema already provides, so the score defaults to baseline 3.

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 'Get persona details' and enumerates the specific fields returned (voice_name, language_code, etc.). Among sibling tools like get_agent, get_metric, etc., it uniquely identifies the resource as persona details, making the purpose unmistakable.

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 description implies usage when needing persona details but does not explicitly state when to use this tool versus alternatives like list_personas. The schema description hints that list_personas provides the ID, but the tool description itself lacks clear when-to-use and when-not-to-use guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/coval-ai/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server