List Sources Tool
list_sourcesList a chatbot's knowledge sources and their training status. Paginated at 50 per page.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number (50 per page). | |
| chatbot_id | Yes | The chatbot id. |
list_sourcesList a chatbot's knowledge sources and their training status. Paginated at 50 per page.
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number (50 per page). | |
| chatbot_id | Yes | The chatbot id. |
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 burden. It mentions pagination and the return content (knowledge sources and training status) but does not explicitly state that the tool is read-only or disclose any side effects. However, the purpose is clear enough for a list 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?
The description is a single, clear sentence that immediately conveys the tool's purpose and key feature (paginated at 50 per page). No unnecessary words.
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 simple list tool with two parameters and no output schema, the description is sufficient. It covers what the tool returns and pagination. It could mention sorting or filtering, but that is not essential.
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 coverage is 100%, but the description adds value by stating the page size (50 per page) and linking chatbot_id to the chatbot's knowledge sources, which is not fully captured in the schema descriptions.
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 clearly states the verb 'List' and the resource 'a chatbot's knowledge sources and their training status'. It also includes pagination detail, which differentiates it from sibling tools like add_source or recrawl_source.
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 for listing sources but does not explicitly state when to use it over siblings like add_source or recrawl_source. No context about prerequisites or alternatives is provided.
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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