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

Annotations already cover safety traits (readOnly, idempotent, openWorld, non-destructive). The description adds meaningful behavior beyond annotations by clarifying that it returns product resource links and that live facts come from resource readback, not from this call directly.

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 tight sentences with no wasted language. It front-loads the typeahead purpose and follows with the key readback caveat.

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 low-complexity, single-parameter tool with no output schema, the description provides enough context: it returns product resource links rather than full product data, and live facts require readback. Minor gaps remain around result cardinality and exact query semantics.

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. It partially does by indicating that the query matches IMPOSSIBREW beer names, but it does not explain matching behavior, formatting, or the 120-character limit that appears in the 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?

The description names a specific behavior: composer typeahead returning product resource links for matching IMPOSSIBREW beer names. It clearly distinguishes this from retrieving full product details via readback, though it does not explicitly contrast with siblings like browse_beers or get_product.

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?

"Composer typeahead" implies the context in which this tool is useful, but the description gives no explicit when-to-use or when-not-to-use guidance relative to browse_beers, get_product, or compare_beers. The intended usage is inferable but not fully spelled out.

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