update_conversation_flow
Save and publish a visual conversation flow graph (nodes, triggers, messages) for a bot.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Chatty automation | |
| bot_id | Yes | ||
| enable | No | ||
| flow_data | Yes |
Save and publish a visual conversation flow graph (nodes, triggers, messages) for a bot.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Chatty automation | |
| bot_id | Yes | ||
| enable | No | ||
| flow_data | Yes |
Changes observed during successful MCP inspections.
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 discloses that the operation publishes a flow, which implies a live mutation, but does not explain permissions, whether the flow is replaced or merged, what 'enable' does, or other side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single efficient sentence with the action and resource front-loaded. Every phrase contributes to identifying what the tool does.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations, no output schema, 4 parameters, and a nested flow_data object, the description is too thin. It omits prerequisites, side effects, parameter details, and return behavior, leaving meaningful gaps for an agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across 4 parameters, so the description must compensate. It adds limited meaning by indicating flow_data contains nodes, triggers, and messages, but it never mentions the name or enable parameters and does not explain the required bot_id or nested flow_data structure.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Save and publish a visual conversation flow graph' for a bot. The resource is precise enough to distinguish it from get_conversation_flow (read) and update_chatbot (broader bot settings).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used when saving or publishing a flow, but it gives no explicit when-to-use guidance, exclusions, prerequisites, or comparison to siblings such as get_conversation_flow or update_chatbot.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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