Skip to main content
Glama

upsert_agent

Create a new voice AI agent or update an existing one by matching on name. Supply system prompt and optional voice to configure agent behavior.

Instructions

Create or update a voice AI agent. If an agent with the given name exists, it will be updated. Otherwise, a new agent is created with sane defaults.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesAgent name (used for upsert matching)
voiceNoVoice ID from list_voices (e.g., "alloy", "coral"). If omitted on create, defaults to "alloy". If omitted on update, preserves current voice.
agent_idNoExplicit agent ID to update directly. If provided, skips name-based matching. Use list_agents to find agent IDs.
system_promptYesSystem prompt defining the agent's behavior
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses the upsert logic, name-based matching, and default voice behavior. It does not mention auth or error states, but for a simple upsert, 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?

Two succinct sentences that convey all essential information without unnecessary words. Perfectly front-loaded.

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

Completeness4/5

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

Given no output schema and no annotations, the description covers the upsert logic and parameter behavior sufficiently. It lacks mention of return value or error conditions, but these are minor gaps for a tool of this 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%, baseline 3. The description adds valuable context: name is for upsert matching, voice defaults differ on create vs update, and agent_id skips name matching. This goes beyond the schema.

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 'Create or update a voice AI agent', specifying the verb (create/update) and resource (agent). It distinguishes from siblings list_agents and list_voices, which are listing tools.

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 explains the upsert behavior: 'If an agent with the given name exists, it will be updated. Otherwise, a new agent is created with sane defaults.' This provides clear context for when to use, but lacks explicit when-not-to-use or alternative recommendations.

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/Kolsetu-Opensource/elba-mcp-server'

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