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

With no annotations, the description carries full responsibility. It discloses the return shape (up to 3 matches with number, title, problem, link) and the search modes (keyword or number). It does not mention error handling or limitations, but the read-only nature is implied by a search/lookup function.

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 tightly written sentences. The first states the action and output; the second gives usage context. No redundancy, with the core functionality front-loaded. Every sentence contributes value.

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 lookup with no output schema and no annotations, the description is largely complete: it specifies the scope (18 patterns), the query method, and the response fields. Minor gaps remain (e.g., behavior on no matches, pagination) but are not critical for basic usage.

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 schema description already covers the 'query' parameter with examples and the special case of a bare number. The tool description reinforces this but adds no new semantic information beyond what the schema provides. Since coverage is 100%, a baseline score of 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?

The description clearly states it searches 18 architecture patterns by keyword or number and returns up to 3 matches with specific fields. It is distinct in purpose, though it does not explicitly name sibling tools or contrast with them, only implying a distinction from how-to guides.

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?

It provides explicit guidance on when to use: 'when you want the reasoning behind an agent-workspace design decision rather than a how-to.' This gives a clear context, though it does not name alternatives like search_architecture or state when not to use the tool explicitly.

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