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

Annotations indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, so the description adds value by detailing the return format: 'Returns the top-N most relevant tools with names, descriptions, and full input schemas... no second schema lookup needed.' This goes beyond the annotations, though it could mention pagination limits.

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 front-loaded with the purpose, then lists domains, then explains return value and usage order. Every sentence adds value, but the list of domains is somewhat lengthy. Still, it's well-structured and avoids redundancy.

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 has no output schema, the description adequately explains what is returned (tools with names, descriptions, schemas) and how to use it. It covers purpose, usage context, and return format sufficiently for an agent to select and invoke it correctly.

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% with all parameters described, including aliases and examples. The description adds semantic context by specifying the query as a 'natural language description' and providing example tasks, which is more helpful than the schema alone. However, the schema already covers the parameter details, so the increment is moderate.

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 states 'Find tools by describing the data or task' and enumerates specific domains (SEC filings, financials, etc.), making it distinct from sibling tools like search_within or neso_search_datasets. It also explicitly says 'Call this FIRST when you have many tools available and want to see the option set,' differentiating its role as a tool discovery mechanism.

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 explicitly says 'Use when you need to browse, search, look up, or discover what tools exist for: ...' and advises to call it first. However, it does not explicitly state when not to use it or provide alternatives, though the context implies it's for exploration rather than direct answers.

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