SiteSpeak
list_chatbotsList the chatbots your account can manage (your current team's chatbots). Returns each chatbot id, name and type. Use the id with the other tools.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_chatbotsList the chatbots your account can manage (your current team's chatbots). Returns each chatbot id, name and type. Use the id with the other tools.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds scope (account/team chatbots) and, usefully given there is no output schema, the return shape (id, name, type). It does not mention pagination or whether the full set is returned.
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?
Two short sentences, front-loaded with the action and scope, followed by return fields and a routing hint. The parenthetical restating team scope is mildly redundant but not wasteful.
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 zero-param read-only list tool whose annotations carry the safety profile, the description covers purpose, scope, and return fields adequately. Only minor gaps remain: no output schema or mention of pagination/ordering.
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?
The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-param tool applies. No parameter-level meaning is needed.
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?
The description states a specific verb (List) and resource (chatbots) and scopes it to "your account can manage (your current team's chatbots)." The list-vs-get distinction against the sibling get_chatbot is implied by the name, but the text does not explicitly name or contrast that sibling.
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?
Usage is only implied: "Use the id with the other tools" tells the agent why the returned ids matter but not when to call this versus get_chatbot or the list_* siblings. There are no explicit when/when-not conditions or prerequisites.
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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