Skip to main content
Glama

letta_send_message

Send a message to a Letta agent and get the response for conversational AI tasks.

Instructions

Send a message to a Letta agent and get the response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYesID of the agent to message
messageYesMessage content to send
streamNoWhether to stream the response

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries full burden. It only states basic functionality and does not disclose behavioral traits like state mutation, permission requirements, error behavior, or that the message gets appended to conversation history.

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?

Single sentence, front-loaded with action, no wasted words.

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 the tool's simplicity and existence of an output schema, the description covers the basic action. However, it could mention that it appends to conversation history or that streaming is optional for completeness.

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 schema already documents each parameter. The description adds no extra meaning 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 the action ('Send a message') and the resource ('a Letta agent and get the response'). It distinguishes from sibling tools like 'letta_get_conversation_history' which is for reading, and 'letta_update_agent' which modifies agent settings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool vs alternatives such as 'letta_get_conversation_history' for reading or 'letta_update_agent' for modifications. No prerequisites or conditions are mentioned.

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/SNYCFIRE-CORE/letta-mcp-server'

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