analyze_query_indexes

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

No annotations are provided, so the description must disclose behavioral traits. It does not mention whether the tool is read-only, destructive, requires permissions, or has performance implications. The minimal description leaves the agent without essential safety context.

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 concise (one sentence), but it lacks structure and omits important details. It is front-loaded with the action but incomplete, which reduces its utility for an AI agent.

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?

Given no output schema, the description should specify the return value (e.g., index recommendations). It also fails to cover the three parameters adequately. The tool is one of many, and the description lacks the completeness needed for reliable use.

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 0%. The description does not explain the method enum, the queries array format, or the max_index_size_mb parameter. The phrase 'up to ten SQL queries' hints at the queries parameter but omits critical semantic details needed for correct invocation.

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 the action (analyze and recommend), the resource (SQL queries), the output (indexes), and a limit (up to ten). It distinguishes this tool from siblings like explain_query and analyze_workload_indexes by focusing on specific user-supplied 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 provides no guidance on when to use this tool versus alternatives like analyze_workload_indexes, or any prerequisites or contraindications. The intended context is only implied by the tool name.

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