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

Annotations already cover read-only and open-world semantics, so the description adds real value elsewhere: the 2012 history horizon and, importantly, the warning that Goldin's API silently ignores non-order filter values. That quirk prevents a caller from wasting attempts on unsupported filters.

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?

Two tight sentences, front-loaded with what the tool returns and then the routing/filter caveats. Every clause earns its place with no filler.

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-value detail isn't required, and the description still enumerates key fields. For a single-parameter listing tool it is nearly complete; only explicit pagination/volume expectations are unaddressed.

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% and the Order enum values are already documented in the schema, so the description mostly restates asc/desc. It does add the useful caveat that order is the only real filter, but that is marginal beyond the schema baseline.

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+resource (complete auction event history) and enumerates the returned fields (title, type, status, start/end window, buyer's premium) plus time depth back to 2012. It also distinguishes itself from the sibling goldin_search by scoping this to events and that to lots.

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?

Clearly routes the agent: pass the auction id as auction_id to goldin_search to browse lots, and states that order is the only effective filter. This is strong context, though it doesn't state explicit when-not conditions for calling this tool at all.

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