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

No annotations are provided, so the description must disclose behavioral traits itself. It does disclose a meaningful rate limit ('20 calls/day per IP'), which is helpful. However, it does not state whether the operation is read-only, what happens on rate limit, or the response format, leaving some transparency gaps.

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, efficiently worded sentence that fronts the primary action and resource, followed by a useful rate-limit note. There is no redundant or extraneous content.

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?

Given the tool's simplicity (2 params, no output schema, no annotations), the description covers the key context: database size, data type (density), and rate limit. It lacks details about return structure, but for a search tool this is a minor gap, and the core purpose is fully communicated.

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 100% for both parameters (query and limit), so the schema already documents their purpose. The description adds useful context about the database contents (density in g/ml), but does not elaborate on parameter syntax or formatting, so the baseline score of 3 is appropriate.

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 a specific action ('Search') applied to a specific resource ('baking ingredient database'), and adds context (100+ ingredients, density in g/ml). This distinguishes it from sibling tools like convert_amount and list_units, which serve different functions.

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 when to use the tool (when you need to search for ingredient info), but it does not explicitly state when to prefer this over alternatives or provide exclusion criteria. The sibling tool names hint at different use cases, but the description itself offers no direct guidance.

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