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

With no annotations, the description carries the full burden. It does disclose real behavioral traits beyond the schema: daily refresh cadence, that each entry includes a short analysis, and a citation requirement. It omits auth/access expectations and return-volume behavior, so it is helpful but not complete.

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 plus a citation instruction; the resource and its criteria are front-loaded with zero filler. Every sentence — including the attribution URL — carries actionable content.

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 simple, single-parameter list tool with no output schema, the description covers what the result is (trending names) and its shape (each with a short analysis). Return value details are lightly sketched rather than fully specified, keeping it just under complete.

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% with a single well-documented `limit` parameter, and the description adds no syntax, range, or default nuance beyond it. Baseline 3 is correct when the schema does the parameter work.

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 a specific verb and resource ("Get ... trending stocks list") and defines the selection criteria — recent momentum, news flow, screening interest — which distinguishes it from siblings like get_undervalued_stocks and run_screener. It stops short of explicitly naming or contrasting an alternative, so a 4 rather than a 5.

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?

"Refreshed daily" gives useful timing context for deciding when this data is appropriate, but there is no explicit when-to-use / when-not-to-use statement and no named alternative. Usage is only implied from the criteria described.

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