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

Annotations already declare readOnlyHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds real value by enumerating the fields returned per match (code, title, type, language, licence, row count, description, page URL), which is meaningful behavioral context given there is no output schema.

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 sentences, front-loaded with the core action and scope, then the return shape. The type enumeration in sentence one is dense but informative rather than redundant; little waste overall.

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 complete parameter schema and no output schema, the description adequately covers both the searchable domain and the return fields. The main omission is result count/pagination behavior, a minor gap for a search tool.

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%, so the schema already documents query, type and language. The description adds only ambient context (types, 9 languages) that loosely maps to the type/language params but contributes no syntax, format or default details beyond the schema. Baseline 3 applies.

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 gives a specific verb (Search) and a well-scoped resource (the ContexteTech catalogue of AI building blocks), enumerating the content types it covers. An agent knows exactly what domain this returns, though it never explicitly distinguishes itself from the generic sibling 'search' tool.

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?

There is no when-to-use guidance and no routing away from siblings such as 'search' or 'load_resource'. The usage is only implied by the tool's domain, leaving the agent to guess how this differs from the generic search sibling.

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