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

Beyond the annotations (readOnly, openWorld, idempotent, non-destructive), the description discloses that the search is free, requires no account or API key, uses x402, and returns a specific set of fields: url, example call, free sample response URL, price, and description. This is rich behavioral context that the annotations do not provide.

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 long, but the lengthy category list serves a clear purpose for a search tool by showing the breadth of searchable content. The workflow sentence at the end is compact. It could be better structured with line breaks, but every part 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?

With no output schema, the description appropriately names the return fields and the follow-up step (get_endpoint), which is enough to invoke the tool correctly. It does not mention pagination or sorting behavior, but the schema covers the limit parameter and the tool's core use is clearly defined.

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?

The query parameter is already documented in the schema with concrete examples, and the description's domain list helps the agent formulate queries. However, the description does not add meaning for the limit parameter, and with 50% schema description coverage the description only partially compensates for undocumented parameters.

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 opens with a specific verb and resource: 'Search the full Saylor catalog of 240+ pay-per-call data endpoints'. It clearly states the scope (full catalog) and enumerates dozens of domains, so an agent can distinguish this broad discovery tool from the many narrow check_* and get_* sibling tools. The title and description align.

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 establishes a clear workflow: use this tool to search and discover endpoints, then 'call get_endpoint for payment details.' It also clarifies that the search itself is free and requires no account. However, it does not explicitly contrast with list_data_endpoints or list_categories, so it stops short of fully explicit alternative routing.

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