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

The annotations already mark this as destructive and non-idempotent, but the description adds meaningful per-action behavior: confirm validates and may restore from archive, reject archives with review provenance, and correct archives while storing corrected text. It also states what the tool does not do (regenerate memory), which is useful negative behavior disclosure.

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 three tightly written sentences with the core action behavior front-loaded. Every sentence adds operational information without repetition or 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?

For a destructive mutation tool with no output schema, the description covers the important behavioral outcomes and the no-memory-regeneration boundary well. The main gap is the undocumented brandId parameter, but the action semantics and annotation coverage make the definition largely complete.

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 for four parameters. It explains the action enum values, identifies factId as the fact being reviewed, and implies correctedFact through 'records the corrected text,' but it never mentions brandId and does not cover length constraints.

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 uses a specific verb-resource pair ('Review a learned fact by id') and immediately decomposes the three valid review actions. It clearly distinguishes this review operation from sibling operations like add_creator_fact, archive_creator_fact, and update_creator_memory.

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 clear contextual guidance for the confirm action ('Only record confirmation when the creator has actually confirmed the fact') and a boundary condition ('Does not regenerate memory'). It does not explicitly route the agent to alternative tools, but the action semantics provide sufficient when-to-use guidance.

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