create_design_notes

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

With no annotations, the description bears full burden for behavioral disclosure. It discloses that the tool creates and saves design notes and returns access details. However, it could be more transparent about side effects (e.g., overwriting) or permissions required, but the provided info is solid.

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 well-structured with sections, front-loading the main purpose. While slightly verbose with repeated workflow steps, it is organized and clear, earning a high but not perfect score for conciseness.

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 tool's role in a multi-step workflow, the description effectively explains how it fits: prerequisite calls, user confirmation, and return details. It references sibling tools and provides a comprehensive overview, making it complete for its 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%, so the description must compensate. It does so by explaining rule_name as 'Name of the rule' and design_notes_structure as 'Complete Jupyter notebook structure as dictionary', adding meaningful context beyond the bare schema.

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 'Create and save design notes after user confirmation', specifying the verb and resource. It also distinguishes itself from sibling tools like generate_design_notes_preview and fetch_rule_design_notes by outlining the workflow context.

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 explicitly provides usage guidelines: call fetch_rule_design_notes first to check existence, then proceed after user confirmation of the preview. It also lists the workflow steps, making it clear when to use this tool versus alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.