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

Annotations already declare readOnly, idempotent, closed-world, non-destructive behavior, so safety is covered. The description adds one genuine behavioral detail - that the website is returned only when the record has one - but says nothing about lookup failures, multiple matches, or what the market/decision_id inputs affect.

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?

A single front-loaded sentence with no filler. It is efficient, though the brevity contributes to the gaps elsewhere rather than being a virtue in itself.

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?

An output schema exists, so return values need not be explained, and annotations cover the safety profile. However, for a lookup tool with three undocumented parameters and an unexplained relationship to find_makers, the description is thinner than the complexity warrants.

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% across three parameters, so the description carries the full burden. It only implies the 'maker' name lookup ('by name') and never explains 'market' or 'decision_id', leaving two of three inputs entirely undefined.

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 states a concrete action (look up a maker by name on the grocery record), but the name/title say 'buyer' while the body says 'maker', and it never distinguishes itself from the very similarly named sibling find_makers. The mismatch and lack of sibling differentiation leave the agent guessing which tool to pick.

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 only usage framing is the terse 'Qualify the buyer', with no when-to-use, no prerequisites, and no mention of alternatives such as find_makers or resolve_actor. An agent gets no signal about when this tool is preferred over its near-duplicate sibling.

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