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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the returned fields (ticker, exchange, company name, currency, price), but with an output schema present that information is largely redundant, so it adds little genuine behavioral context.

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?

Two sentences, front-loaded with the core purpose and closed with the follow-up routing. No filler or repetition; every clause earns its place.

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?

For a single-parameter search tool with an output schema and annotations, the description supplies purpose, scope of entities, returned fields, and the next-step workflow. Nothing needed to call it correctly is missing.

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% for the single 'q' parameter, so the schema already documents it. The description's 'by keyword' plus the entity list (ticker/company/fund/cryptocurrency) marginally clarifies what q accepts, but does not add syntax or format detail beyond the schema. Baseline 3 is appropriate.

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 (Search) plus resource (Google Finance) and enumerates the entity types covered (ticker, company, fund, cryptocurrency) by keyword. This clearly identifies it as the discovery/search entry point, though it does not explicitly name the sibling detail tools it feeds into.

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 describes the follow-up workflow: 'use a returned quote identifier with the quote or focused detail tools.' That gives clear context for how this tool fits into a sequence, but it offers no exclusion criteria for when NOT to use it versus other search tools (e.g., yahoo_finance_search).

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