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

Annotations declare destructiveHint=true, idempotentHint=true and openWorldHint=false, but the description never explains what is destroyed (e.g., whether a new preference overwrites an existing one) or why a "remember" action is marked destructive. The cost line ("Free: no credits") is the only behavioral addition, and the 200-character limit merely repeats the schema's maxLength.

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 purpose is front-loaded and the sentence is reasonably compact, but the trailing "Free. Cost: Free: no credits." is redundant self-repetition that adds no information. The character-limit clause duplicates the schema constraint rather than earning its place.

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?

An output schema exists, so return values need not be explained, and the core operation is understandable. However, for a mutation tool flagged destructive, the missing overwrite/idempotency semantics and the undocumented brand_id leave real gaps for correct invocation.

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 only 50%: text is documented in the schema, and the description's "plain words" plus examples largely duplicate that. The brand_id parameter has no description anywhere, and the description does not clarify whether it defaults to the current brand, which is exactly the gap a description should fill.

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?

"Teach Clypmint one lasting preference for every later video of this brand" gives a specific verb (teach/store), resource (preference, scoped to a brand), and scope (applies to later videos). The examples of preference types (caption size, pace, name spelling) make the intent unambiguous. It does not name its siblings (forget, list_memory), so an agent must infer which one removes or lists preferences.

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?

Usage is implied: call this when you want to persist a durable brand-level preference rather than a one-off edit. There is no explicit guidance on when not to use it, no mention of the forget/list_memory alternatives, and no statement about whether brand_id is required or what happens when it is omitted.

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