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

Annotations already declare this as a non-read-only, non-idempotent write with open-world access, so the base bar is lower. The description still adds real context beyond them: storage is private, saved material later surfaces through ask_workspace and agents with sources, and only text or public web pages are accepted (PDFs/Word go through the upload path). It does not contradict the annotations, though it omits anything about limits or re-save behavior.

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?

One well-organized paragraph that leads with the usage condition before the mechanics and closes with exclusions, so the important routing information is front-loaded. It is dense and slightly long for three parameters, but no sentence is filler.

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?

With an output schema present, return values need no explanation, and the annotations carry the safety profile. The description covers triggers, format limits, exclusions, and downstream consumers (ask_workspace and agents answering with sources), leaving nothing an agent needs to invoke it correctly.

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 coverage is 100%, so the baseline is 3. The description nevertheless adds semantics the schema does not: the accepted formats are text or a public web page only, and PDFs/Word files are out of scope, which directly steers the url-vs-text choice. The text-or-url exclusivity is partly restated from the schema, so it is not a full 5.

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 (save/remember) and resource (material in Xenition's knowledge) and explicitly contrasts itself with the document tools and ask_workspace. An agent can tell it apart from add_note, create_document, and ask_workspace without opening any schema.

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?

It gives explicit trigger conditions ('when the user wants Xenition to remember material'), concrete examples (pasted notes, policy, article, URL), and explicit exclusions with named alternatives: do not use to create a document (document tools) or to answer a question now (ask_workspace). Nothing is left to inference.

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