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

Annotations already establish that this is a safe, idempotent, read-only, closed-world operation. The description adds useful return-shape context ('Returns titles, URLs and summaries'), but it omits ranking behavior, result limits, and pagination, so it adds some value without fully characterizing the operation.

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 purpose is front-loaded in the opening phrase, and the return shape is stated in a short second sentence. The long topic list is domain-relevant but slightly padded, keeping it short of maximum conciseness.

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 simple two-parameter search tool with full schema descriptions, strong annotations, and no output schema, the description covers purpose, scope, and return contents adequately. Pagination and result-limit behavior are the only meaningful omissions.

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 both the query and lang parameters clearly documented including an example and enum values. The description adds no parameter-specific detail beyond the schema, so the baseline of 3 for high coverage 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') and resource ('guides and posts') and scopes it to named topic areas such as the EU AI Act, CBAM, and supply chain automation. Among the siblings it is the only search-oriented tool, so an agent can distinguish it without opening the schema.

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 implies when the tool is useful by listing searchable topics, but it never states when to prefer it over siblings like list_solutions or get_profile, nor does it mention any exclusions or prerequisites. Usage is inferable but not explicitly guided.

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