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update_paragraph

Update a paragraph's content in an Apache Zeppelin notebook to write or modify code with interpreter directives.

Instructions

Update a paragraph's text. Use this to write or modify code in a paragraph.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe new paragraph text (include interpreter directive like %pyspark on the first line)
notebookIdYesThe notebook ID
paragraphIdYesThe paragraph ID
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description bears full responsibility for behavioral disclosure. It only states that the tool updates text but omits details on side effects, required permissions, whether the update is immediate or queued, or any impact on paragraph execution state. The parameter description hints at interpreter directives, but this is not in the main description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences deliver the essential purpose without superfluous words. The description is front-loaded with the core action and directly states the use case.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple update tool with three required parameters and no output schema, the description covers the basic purpose and parameter hints. However, it lacks information about return values, error conditions, or the relationship to paragraph execution, which would help complete the context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema covers all parameters with descriptions (100% coverage), so the baseline is 3. The description adds minimal semantic value by suggesting the text is code, but does not elaborate on the role of IDs or provide examples. Overall adequate but not exceptional.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Update' and the resource 'paragraph text', and hints at the use case of writing/modifying code. However, it does not explicitly differentiate from sibling tools like create_paragraph or run_paragraph, which have overlapping purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as create_paragraph for new paragraphs or run_paragraph for execution. The description lacks any 'when to use' or 'when not to use' context.

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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