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

Annotations already declare readOnlyHint=true and non-destructive, so the description doesn't need to emphasize safety. It adds value by disclosing the response format, ordering, and no-match message. However, it doesn't mention any rate limits or potential performance implications, which could be relevant given the pagination limit of 10. Overall, it adds context beyond annotations but not exhaustive.

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 well-organized, starting with the main purpose, then filter behavior, then return format details. It's a bit verbose but each sentence serves a purpose: clarifying defaults, ordering, no-match text, and result structure. Could be slightly tightened, but it's structured and front-loaded with the key functionality.

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 tool's moderate complexity (5 optional parameters, no output schema, and structured output), the description covers essential aspects: filter semantics, ordering, default behavior, no-match response, and detailed return fields. It lacks explanations for some return fields (e.g., impact_scope, attention_verdict) but provides enough for an agent to call it correctly. Sibling differentiation is implied but not explicit.

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% — each parameter has a description that explains its purpose (e.g., ticker filter, keyword, impact_companies). The tool description adds context on how filters combine (AND) and the default pagination, which the schema doesn't state. But the schema already covers parameter meaning well, so the description adds marginal value.

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 tool as searching for 'industry inflections' identified from earnings calls, specifying the resource and its key attributes. It distinguishes this from siblings like 'company_search' or 'news_search' by focusing on structured research of earnings calls and the specific data fields returned.

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 states that all filters are optional and combine with AND, the default behavior (newest first page), and the exact ordering. It also describes the no-match return value, which guides agents on what to expect. This is sufficient guidance for when to use this tool versus alternatives, as it's a specialized search tool.

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