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Michael2150

flamerobin-mcp-server

analyze_missing_indexes

Identify columns without an active leading index to improve WHERE and JOIN performance.

Instructions

Report which columns on a table are covered by an active index (as the leading segment). Helps identify missing indexes on columns used in WHERE clauses or JOINs. Returns [{column, has_index, index, unique}].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseYesDatabase key from list_databases.
tableYesTable name. Automatically uppercased.
filterColumnsNoComma-separated column names to check. Omit to check all columns.
Behavior3/5

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

No annotations provided, so description carries burden. It describes the output format and what it checks, but does not disclose whether it is read-only, performance impact, or any side effects. Basic transparency but could be more explicit.

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?

Three sentences, each earning its place: first states purpose, second gives use context, third provides return format. No redundancy, front-loaded with primary action.

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

Completeness4/5

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

Given no output schema, the description includes a return format example. It covers the core functionality and its purpose. Lacks clarity on what 'active index' means, but sufficient for a diagnostic tool.

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 descriptions cover all parameters at 100%. The tool description adds little beyond summarizing the return format; the parameter meaning is already clear from schema. Baseline 3 assigned as per guidelines.

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 tool reports which columns have active index coverage, aiding in identifying missing indexes. It distinguishes from sibling tools by focusing on index analysis rather than general table inspection or querying.

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 index analysis but does not explicitly state when to use or avoid it. No mention of alternatives or exclusions.

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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