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

Annotations already disclose that this is a non-read-only, non-idempotent, non-destructive, closed-world operation, so the description's job is incremental. It adds only the failure/stall precondition and says nothing about whether prior partial content is discarded, whether the retry consumes credits, or how long reprocessing takes -- all material for a non-idempotent mutation. No contradiction with the annotations.

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 twelve-word sentence with no filler, and the action is front-loaded. It is efficient to the point of terseness -- 'process ... again' is slightly softer than the tool's own 'retry' framing -- but nothing is wasted.

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?

The tool is low-complexity (3 params, fully documented schema, complete annotations, no output schema), so the definition is nearly callable as written. The remaining gap is what happens after the call -- whether it returns a job to poll via get_job_status or completes synchronously -- which is not inferable from either the description or a return schema.

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%: every parameter carries a description, including cross-references to list_knowledge_documents and list_knowledge_notebooks for obtaining ids, and app_id's fallback behavior. The description adds no parameter meaning beyond that, so the baseline 3 applies.

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 action and resource (process a document again) and adds a precondition that sharpens it: only after a failure or stall. That distinguishes it from add_knowledge_document (new ingest) and read_knowledge_document (read), though it never names the most relevant sibling, list_failed_knowledge_documents, as the source of candidates.

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 explicit when-to-use guidance -- call this when a document has failed or stalled -- which an agent can act on directly. It stops short of exclusions or alternative routing (e.g. re-upload via add_knowledge_document if the source file itself was bad), so it lands at clear-context-but-no-exclusions.

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