list_meetings
List meetings booked by visitors through the chatbot.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes |
List meetings booked by visitors through the chatbot.
| Name | Required | Description | Default |
|---|---|---|---|
| bot_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It does not disclose whether results are paginated, sorted, date-filtered, or what permissions are required, and it does not describe the return shape for a listing operation.
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?
A single efficient sentence with the resource front-loaded after the verb. No wasted words, though it is arguably too terse for a listing tool.
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?
No output schema, no annotations, and an undocumented required parameter leave significant gaps: the agent cannot know the return format, ordering, or whether pagination or filtering exists. The description does not compensate for this thin structured context.
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% for the single required parameter 'bot_id', and the description never explains that meetings are scoped to a specific bot or what a bot_id looks like. The description adds no meaning beyond the bare parameter name.
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 ('List') and resource ('meetings booked by visitors through the chatbot'), which is clearly distinguishable from siblings like list_leads or list_conversations. No explicit sibling differentiation or scope constraints, but the purpose is unambiguous.
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?
There is no guidance on when to use this tool versus list_conversations, list_leads, or lead-export tools. The agent must infer usage entirely from the one-line description.
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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