search_optimize_queries

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It says 'optimize' and lists capabilities, but does not state whether this mutates an index or configuration, whether changes are reversible, what authentication is required, or what the output/report looks like. This is a significant transparency gap for a tool that implies changing search behavior.

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 a single sentence with no wasted words and opens with the action verb. The unexplained 'Pro:' prefix is minor noise, but overall it is appropriately concise and scannable.

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 and no annotations, the description must explain expected results and side effects, but it does neither. It also fails to resolve ambiguity among the many sibling optimization tools, making the context incomplete for reliable tool selection and invocation.

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 baseline is 3. The description's mention of relevance tuning, faceting, and performance analysis loosely aligns with query_patterns but does not add meaningful parameter-level detail beyond what the schema already provides.

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 uses the specific verb 'Optimize' with the resource 'search queries' and names three concrete capabilities: relevance tuning, faceting, and performance analysis. This makes the core purpose clear, though it does not explicitly distinguish itself from close sibling tools like searchidx_optimize or ddb_optimize_queries.

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 gives no guidance on when to use this tool versus alternatives. Given the large sibling list with overlapping tools such as searchidx_optimize, query_rewrite, and graphql_optimize_queries, the lack of explicit when-to-use or when-not-to-use information leaves the agent to guess.

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