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

Annotations already cover the safety profile (destructiveHint=false, openWorldHint=false), and the word 'indexed' is consistent with a closed corpus. The description adds the useful fact that results carry report and page provenance, but says nothing about ranking, pagination, or why readOnlyHint is false for what appears to be a pure query — a notable gap given that annotation value.

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 short sentences with the core capability and the return provenance front-loaded. The Chinese sentence largely restates the English one, which is mild redundancy, but it earns its place for a bilingual audience and adds nothing misleading.

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?

With a fully documented 5-parameter schema, an output schema, and annotations in place, the description only needs to frame the capability and result shape, which it does. The only shortfall is the absence of any guidance on query formulation or result volume, which would help an agent use it well.

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%, with every parameter (limit, query, date_from, date_to, visual_type) documented including the enum members. The description contributes no additional parameter meaning, so the baseline of 3 applies; the schema is doing all the work.

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 names a specific verb ('Search') and a concrete resource set ('indexed charts, tables, industry diagrams and research-relevant images') plus the provenance returned ('report/page provenance'). This clearly separates it from text-oriented siblings like search_research, search_filings and search_meetings, though those siblings are never named 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?

Usage is only implied by the resource type: an agent can infer it should call this when hunting for visuals rather than prose. There is no explicit when-to-use statement, no when-not-to-use, and no mention of alternatives such as search_research when the need is textual.

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