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

With no annotations, the description carries the full burden, and it does disclose meaningful behavior: results come back 'in the same order the collection page shows them' and include RAP, lowest listing and copies. It also pins down the citation format, which is unusual and useful. It does not mention pagination behavior, rate limits, or auth requirements, so it falls short of full disclosure.

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?

Three sentences, front-loaded with the resource and its output fields, then slug discovery, then citation format. Each sentence earns its place, though the citation sentence is dense with two URL templates that could be tightened.

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?

There is no output schema, so the description correctly steps in to name the returned fields and their ordering. Combined with the schema's page/limit constraints, an agent has enough to call this correctly. It is only slightly short on pagination expectations (default 10, max 25) which the schema does cover.

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 coverage is 50%: slug and sort are documented in the schema, while page and limit have no descriptions at all. The description reinforces the default ordering semantics ('same order the collection page shows them') but says nothing about what page/limit do or how deep paging works. Baseline 3 is appropriate since the schema does half the work and the description only marginally compensates.

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 and resource ('the items in one of RBX Invest's curated collections'), gives four concrete slug examples, and specifies the returned fields (RAP, lowest listing, copies). An agent can distinguish this from get_items/search_items immediately, since those are generic item lookups while this is scoped to a curated collection.

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?

It explicitly routes the agent to the alternative when the slug is unknown: 'find_page with a word from the collection name returns its slug.' That is a real prerequisite handled well. It stops short of stating when NOT to use this tool (e.g. use get_items for ad-hoc asset IDs), so it is clear context without explicit exclusions.

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