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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds genuinely new context — that live prices underpin demo agents, that on-chain agents live on Robinhood Chain via ERC-8004, and that stats cover 7 days — but says nothing about pagination, ordering, result limits, or what 'stats' contain.

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 dense sentence with no filler, front-loading the resource and its two categories. Slightly awkward phrasing with stacked parentheticals, but nothing is wasted.

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 one-optional-param read-only list with no output schema, this is close to adequate: it explains both sources and the stat horizon. It still leaves the agent guessing about result shape, ordering, and whether results are paginated or capped.

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 carry the load. It indirectly explains two of the three enum values (demo = paper trading on live prices, onchain = ERC-8004 on Robinhood Chain) but never names the `source` parameter or clarifies that 'all' is the default/union.

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?

Names the resource (OUROS agents) and states the two populations being returned — demo agents paper trading on live prices and ERC-8004 agents on Robinhood Chain — plus the stat window. The list semantics are clear from the name and the enumeration of what is included, though the verb is never stated explicitly.

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?

No guidance on when to use this versus the sibling get_agent (single agent lookup) or when to prefer one source over another. The only implied usage cue is that this covers multiple agents while get_agent covers one.

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