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

With no annotations, the description carries the full burden and does so well: it says there is no cursor and returns a plain array, lists fields and nullability, explains `high` versus `low` confidence, warns that `title` is untrusted third-party text, clarifies `productUrl` domain guarantees, and defines `kind` and `endedAt` 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?

The purpose and usage cases are front-loaded, followed by return shape and safety caveats in a logical order. It is somewhat long and dense, but every sentence adds operational value rather than 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 no-annotation, no-output-schema tool with five optional parameters, the description covers the return structure, confidence meaning, null behavior, safety concerns, and temporal/kind semantics. An agent has enough information to invoke it correctly and interpret the response.

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 a baseline of 3 is appropriate, but the description adds meaningful semantics for `kind` and `minConfidence` by explaining restock versus retailer events and first-party versus unverified reports. It does not add much beyond the schema for `retailer` or `sinceHours`, but the extra confidence guidance is valuable.

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?

States a specific verb and resource: listing recent Pokemon TCG restock alerts across covered retailers, newest first. This makes clear it is an alert-history tool rather than a live-stock tool, which distinguishes it from siblings like get_in_stock_now even without naming them.

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?

Gives concrete use cases such as answering 'what dropped recently', checking whether a product restocked, and summarising activity for a retailer or time window. It also says to prefer `high` confidence rows when recommending action, but does not explicitly contrast with sibling tools like get_in_stock_now for current availability.

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