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analyze_query_indexes

Read-only

Analyze up to 10 SQL queries and recommend optimal indexes to improve database performance.

Instructions

Analyze a list of (up to 10) SQL queries and recommend optimal indexes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
methodNoMethod to use for analysisdta
queriesYesList of Query strings to analyze
max_index_size_mbNoMax index size in MB

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, indicating a safe read operation. The description adds behavioral context by specifying the limit of 10 queries and that it recommends indexes, which is valuable beyond the annotations. No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is front-loaded with the main action and constraints. Every word is necessary and there is no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema, the description does not need to explain return values. The description covers the purpose, input limit, and expected output (index recommendations). For a read-only analysis tool, this is fully sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents the three parameters (queries, method, max_index_size_mb). The description adds minimal extra meaning beyond restating the queries parameter. Baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Analyze', the resource 'a list of SQL queries', and the output 'recommend optimal indexes'. It also includes a specific constraint (up to 10 queries), which distinguishes it from sibling tools like analyze_workload_indexes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for analyzing a small batch of queries to get index recommendations, but it does not explicitly state when to use this tool versus alternatives like analyze_workload_indexes or execute_sql. There are no exclusions or when-not-to-use guidance.

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

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