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send_message

Send a prompt to a Grok Bot agent and receive its response. This enables AI agents to interact with bots through grok-bot-mcp.

Instructions

Send a message or user prompt to a Grok Bot agent and receive its response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesThe ID of the bot to send the message to
messageYesThe text message to send

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.3.0

TDQS

B3.1/5.0
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 hints at synchronous behavior ('receive its response') but omits whether the message is persisted in the transcript, whether the call blocks until completion, timeout/rate-limit behavior, and what happens on agent errors.

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?

A single front-loaded sentence with no filler. Every element earns its place: the action, the target, and the fact that a response is returned.

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?

For a two-parameter tool with no output schema and no annotations, the description covers the core action but leaves return shape, blocking behavior, and side effects unstated. It is minimally viable rather than complete.

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 'agentId' and 'message' are already documented in the input schema. The description adds only the framing of 'message or user prompt' and does not extend parameter meaning further, making the baseline 3 appropriate.

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 states a specific verb (send) and resource (message/user prompt to a Grok Bot agent) and even notes the response comes back. It clearly separates this from siblings like search_messages or get_transcript by naming the distinct resource type, though it never explicitly contrasts itself with those siblings.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. The agent must infer that this is the tool for interacting with a bot versus reading transcripts or searching messages.

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