notebook_describe

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

With no annotations, the description must stand alone. It indicates a read operation ('Get') and outlines the return format (summary, suggested_topics), but does not explicitly state safety, auth requirements, or error behavior. Adequate but not fully transparent.

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 extremely concise: one opening sentence plus a compact args/returns section. Every element provides value without redundancy, and the key action is front-loaded.

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 low complexity (single parameter, read operation, output schema provided), the description fully covers purpose, parameter meaning, and return structure. No gaps remain for the agent's invocation needs.

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 schema has 0% description coverage, but the description explains the sole parameter 'notebook_id' as 'Notebook UUID,' adding format context beyond the schema's type string. This is meaningful and sufficient for a single parameter.

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 'Get AI-generated notebook summary with suggested topics,' specifying a unique verb-resource combination (Get + AI-generated summary) that distinguishes it from sibling tools like notebook_get or notebook_query.

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 provides no guidance on when to use this tool versus alternatives, such as notebook_get or notebook_query. No exclusions or conditions are mentioned, leaving the agent without context for tool selection.

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