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

With no annotations, the description carries the full behavioral burden. It discloses result freshness (daily refresh) and the nature of the payload (fundamentals per stock), but says nothing about auth requirements, rate limits, pagination, or behavior on an invalid screener id.

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 compact sentences; the payload description comes first, then the dependency, then the citation rule. Every sentence carries information, though the citation URL instruction sits slightly awkwardly at the end.

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?

No output schema exists, so the description must describe returns — which it does by enumerating the fundamentals included. A 2-parameter, low-complexity read tool with a clearly named id source is adequately covered; only edge-case behavior (bad id, empty results) is 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 coverage is 100% (baseline 3), and the description adds value on top by naming the upstream source for screenerId and giving three example id formats. The limit param is left entirely to the schema, but the id semantics are meaningfully enriched.

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?

Specific verb+resource: runs a predefined screener and returns top matching US stocks with named fundamentals. It also distinguishes itself from siblings by pointing at list_screeners as the id source rather than returning screener definitions itself.

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?

Explicitly names list_screeners as the prerequisite for obtaining valid screener ids and gives concrete examples ('dividend-aristocrats', 'buffett-style'), plus a data freshness note (results refresh daily). It does not contrast itself against peers like get_undervalued_stocks or get_trending_stocks, which is the only missing routing guidance.

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