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

With annotations only covering readOnlyHint, the description carries the rest and does so richly: exact return shape, severity enum semantics ('red' or 'amber', red first), the meaning of available:false, the non-obvious fact that empty flags is not an all-clear, caveat placement in tool_notes, and the API-key/auth requirement. This is far beyond what the annotation provides.

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?

Front-loaded with the core action, then tight clauses for return shape, severity, semantics, and auth. It is dense but nearly every clause earns its place; the long screen enumeration is the main weight, though it does clarify scope.

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 explain return values and it does completely (flags, count, severity, available/reason). Combined with auth requirements, caveat routing, and interpretation caveats, an agent has everything needed to call and interpret it.

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% for the single ticker parameter, so the schema already documents its format (e.g. AAPL). The description adds no syntax or format detail beyond the schema, making the baseline 3 correct.

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 ('Run 15 red-flag screens on a ticker') and enumerates the actual screens, so the agent knows exactly what analysis is produced. It is clearly distinguishable from value/quality siblings like get_fundamentals and ol_intrinsic_value, which it explicitly names as pairings.

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?

Gives clear context ('Pair with get_fundamentals and ol_intrinsic_value') and important interpretive guidance ('A flag is a question to investigate, NOT a sell signal'). It stops short of explicit when-not-to-use or exclusion conditions versus alternatives, so it lands just below the top.

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