goodnotes_study_bundle

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

The annotations already declare a non-read-only, non-destructive, open-world tool; the description usefully adds that output is written locally and that no external app import or AI call happens, which narrows the scope considerably. However, it never says where the bundle is written, whether an existing export is overwritten, or how the TSV/summary are laid out on disk. Given the annotations cover the safety profile, this is adequate but not rich.

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?

Two tight sentences that front-load the save operation and follow with the constraint. The content-type list is dense but each clause carries information. Slight cost: the ordering mixes what is saved with how it relates to sources, which makes it read a bit like a spec fragment.

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 four-parameter write tool with no output schema and no parameter documentation, the description should at minimum explain exportId and the destination of the local write. It does explain the provenance expectation (caller supplies content, source references kept) which is the key conceptual point, but the missing explanation of the required identifier and save location leaves real gaps.

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 carry parameter meaning, and it only loosely maps its prose to three of the four parameters (summary, tasks, cards). The single required parameter, exportId, is never mentioned anywhere in either the description or the schema, and the page/front/back/limits structure goes unremarked. This leaves the caller guessing about the one field that must be supplied.

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 and multi-part resource: saving source text, a summary, tasks, and Anki-compatible TSV cards locally with source references. It also draws a boundary against sibling-like operations by saying it does not call another AI or import into task/flashcard apps. It stops short of naming which sibling to use instead, so an agent must infer its slot from the boundary statements alone.

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 assistant must supply the learning content' gives a real precondition: this tool does not generate material, the caller must. The negative claims ('does not call another AI', 'does not import into task/flashcard apps') imply when-not and gesture at alternatives, but no sibling is named and no explicit selection rule is stated. Usage is therefore implied rather than prescribed.

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