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

With no annotations, the description carries the full behavioral burden. It usefully discloses that the tool is free, returns the newest 5 alerts, and interprets keywords across product, brand, allergen, and hazard categories. However, it does not mention authentication, rate limits, output structure, or pagination limits beyond the count.

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 a single efficient sentence, front-loading 'FREE' and then stating the core behavior and result limit. There is no waste.

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 simple one-parameter read tool with no output schema and no annotations, the description covers the essential scope: latest Canadian food recalls, keyword matching, and newest-5 limit. It could do slightly more to distinguish siblings or describe output fields, but it is 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 the single parameter. It meaningfully clarifies that the keyword can refer to a product, brand, allergen, or hazard, which is valuable semantic context not present in the bare string schema.

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: retrieve latest Canada food recall alerts matching a keyword, limited to the newest 5. It is clear what the tool does, though it does not explicitly distinguish itself from siblings like recall_search or new_since.

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 by 'latest' and 'newest 5', but there is no explicit statement about when to prefer this over recall_search, new_since, or watchlist. The agent must infer the distinction from names alone.

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