notebook_get

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

No annotations are provided, so the description carries the full behavioral burden. 'Get' implies a read, but it says nothing about authentication requirements, whether the call fails without notebook_login, what 'Dual-Engine' entails, or how the 'auto' engine default is resolved; only the return payload is covered by the output schema.

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?

A single front-loaded sentence with no filler or repetition. It is appropriately sized for what it chooses to say, though its brevity leaves the gaps noted in other dimensions.

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 tool with three undocumented parameters, no annotations, and 21 sibling notebook tools, this one-sentence description is not complete enough. The output schema covers return values, but selection guidance, parameter meaning, and auth/prerequisite context are all missing.

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, and it does not. It never explains notebook_id (or what happens when it is null), workspace_dir, or the 'engine' parameter beyond the vague phrase 'Dual-Engine'.

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 names a specific verb ('Get') and a concrete resource set ('metadata, AI summary, and list of sources for a Gemini Notebook'), so an agent knows exactly what comes back. It does not explicitly distinguish itself from close siblings like notebook_list, notebook_status, or notebook_get_source_text, so it stops short of 5.

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?

There is no guidance on when to call this versus notebook_list (enumerate notebooks) or notebook_status (presumably lighter status check), nor any mention of prerequisites such as being logged in. Usage is only implied by the word 'Get' and the object 'Gemini Notebook'.

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