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

With no annotations, the description carries the full burden. It explains the output structure (severity + reason + evidence rows), the types of flags covered, and the interpretation of an empty result as 'genuinely clean'. However, it doesn't disclose behavior for uncovered or invalid tickers, potential errors, or any rate limits, leaving gaps in edge-case handling.

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 dense sentences with no filler. The first sentence is a long, comma-separated list that front-loads the flag types, which is efficient but visually heavy. Overall, each sentence earns its place and the structure follows a logical flow: what, output shape, when to use.

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?

Since there is no output schema, the description does a good job explaining the return format ('severity + reason with the evidence rows attached') and the meaning of an empty list. It also gives usage timing and a named example. Missing are specifics about ticker coverage and error handling, but for a read-oriented data tool this is fairly 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 50%: only 'ticker' gets a bare description in the schema. The description adds real context for the ticker via the SMCI example, but says nothing about the 'limit' parameter, its default, or its meaning. The description only partially compensates for the schema's lack of detail.

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?

The description clearly identifies the resource ('Forensic accounting red flags with plain-language reasons') and covers specific flag types, which distinguishes it from sibling tools. However, it lacks an explicit verb like 'retrieves' or 'lists', so the purpose is conveyed through a noun phrase rather than a direct action statement.

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?

The description gives explicit usage context: 'Call it before trusting reported financials on any name with earnings-quality doubts' and provides a concrete example (SMCI/EY-resignation cluster). It doesn't state when not to use it or name alternative tools, so it misses the exclusion/alternative guidance for a 5.

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