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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: the output is neutral, alphabetical, includes reference links, and never ranked or rated. This is good, but it does not mention authentication needs, rate limits, or that it is a read-only operation. The description adds value beyond the empty 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?

The description is two sentences without wasted words. It front-loads the core purpose and output characteristics. However, it could be slightly more structured (e.g., bullet points) for easier scanning. Still, it is appropriately sized.

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 tool with 6 parameters and no output schema, the description covers the basic behavior but lacks details on pagination, default limits, result handling (e.g., empty results), error states, or how parameters interact. It does not reference sibling tools or provide selection guidance. Adequate but not 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 only 17% (only limit has a description). The description paraphrases the parameter names (ingredient, concern, category, brand, fragrance_free) but adds little extra meaning beyond the schema field names. It does not provide examples, format constraints, or detailed semantics. The description partially compensates for low coverage but not sufficiently.

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 clearly states the tool searches MHS BLOOM's product reference by multiple criteria (ingredient, concern, category, brand, fragrance_free) and returns a neutral alphabetical list with reference links. It distinctively notes the output is never ranked or rated, differentiating it from sibling tools like find_alternatives or list_brands.

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?

The description implies usage when searching by specific criteria but does not explicitly tell when to use this tool versus alternatives like find_alternatives or lookup_product. There is no guidance on when not to use it or what scenarios are unsuitable.

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