stop_paragraph
Cancel an active paragraph in a Zeppelin notebook to interrupt its execution.
Instructions
Cancel a running paragraph.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| notebookId | Yes | The notebook ID | |
| paragraphId | Yes | The paragraph ID |
Cancel an active paragraph in a Zeppelin notebook to interrupt its execution.
Cancel a running paragraph.
| Name | Required | Description | Default |
|---|---|---|---|
| notebookId | Yes | The notebook ID | |
| paragraphId | Yes | The paragraph ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description indicates the tool acts on a 'running' paragraph, implying a state requirement, but does not disclose side effects, idempotency, or error handling. With no annotations, the burden is on the description, yet it provides minimal behavioral context.
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 sentence with no wasted words. It is appropriately sized for a simple tool, though it could benefit from slightly more detail without becoming verbose.
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?
Given the simplicity of the tool, the description is partially complete but lacks important details about behavior when the paragraph is not running, whether the action is reversible, and any required permissions or preconditions.
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% and parameter names are self-explanatory. The description adds no additional meaning beyond what the schema already provides, so baseline 3 is appropriate.
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 action ('Cancel') and the resource ('a running paragraph'), and it distinguishes from siblings like 'run_paragraph' and 'stop_all_paragraphs'.
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?
No guidance on when to use this tool versus alternatives like 'stop_all_paragraphs' or 'restart_interpreter'. Does not mention prerequisites or state constraints.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/mihneamanolache/zeppelin-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server