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

Annotations already mark the tool as readOnlyHint=true, and the description is consistent with that. It adds useful behavioral context by saying results are 'read against its case' and listing the aggregated data sources. It does not disclose output format or potential latency, but the read-only annotation lowers the bar.

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?

The description is compact and front-loaded with the core behavior, followed by practical usage triggers and a parameter hint. Every sentence contributes value, though the 'Args' list is slightly redundant with the schema.

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?

Given the moderate complexity, read-only annotation, and no output schema, the description covers the main purpose and usage context well. However, it is incomplete because reading_level is left unexplained and response_mode is only partially described, leaving the agent to infer meaning from the schema alone.

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 is the only natural-language source for parameters. It adds meaning for 'entity' as a company, 'since' as a date, and 'response_mode=plain for beginners,' but it omits the reading_level parameter entirely and does not define the other response_mode values.

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 explains that the tool summarizes what changed for a company across quarter results, filings, 8-K events, insider trades, capital returns, and price moves. This distinguishes it from category-specific siblings like get_filings or get_insider_trades, though it does not name them 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?

The description gives concrete natural-language triggers: 'what changed with X; what's new; how did X's earnings go.' It provides clear context for when to use the tool, though it does not state when not to use it or name alternatives.

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