Skip to main content
Glama
okareo-ai

Okareo MCP Server

Official
by okareo-ai

List Drivers

list_drivers
Read-onlyIdempotent

Lists all driver personas available in your project, including their names, IDs, model, and temperature settings.

Instructions

See what driver personas are available in this project.

Returns all Drivers with their names, IDs, model, and temperature.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate a safe read-only, idempotent operation. The description adds value by disclosing exactly what is returned (names, IDs, model, temperature) and that it returns all drivers, which goes beyond the minimal annotation information.

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 two short sentences, front-loaded with 'See what driver personas are available' and immediately followed by the return fields. No wasted words.

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 list tool with no parameters, an output schema, and a clear description of the returned data, this is fully complete. The output schema handles detailed return shape, and the description provides the semantic content.

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?

The tool has zero parameters, so there is nothing to explain. The description correctly avoids any parameter details, and the baseline for zero-parameter tools is 4.

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 lists all driver personas with specific fields (names, IDs, model, temperature). This distinguishes it from related tools like get_driver (single driver) and list_driver_voices (voices only).

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 context is clear: use this when you need an overview of all available drivers. It does not explicitly mention alternatives or exclusions, but the simplicity and scope ('all Drivers') make the use case obvious without extra 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/okareo-ai/okareo-mcp'

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