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canbolayir

Supabase MCP Server

by canbolayir

sql_analyze_table

Analyze a database table to retrieve detailed statistics, including row counts, size, and performance insights, for better query optimization.

Instructions

Get detailed table analysis including statistics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
table_nameYesTable name to analyze
Behavior1/5

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

No annotations are provided, so the description carries the full burden. It only says 'Get detailed table analysis including statistics' and doesn't disclose whether the operation is read-only, if it modifies the table (e.g., running ANALYZE), any required permissions, or return format. The 'Get' implies retrieval, but the description provides no explicit behavioral guarantees.

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 with no redundancy or filler. It is concise and front-loaded with the core purpose.

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

Completeness2/5

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

Despite having only one parameter, the tool itself is potentially complex (detailed analysis with statistics). The description doesn't explain what 'detailed table analysis' includes, what statistics are returned, or any usage context. With no output schema, the description fails to provide a complete picture.

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 coverage is 100% with the table_name parameter described as 'Table name to analyze'. The tool description adds no additional meaning beyond the schema, so the baseline score of 3 applies.

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

Purpose4/5

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

The description states a specific verb ('Get') and resource ('detailed table analysis including statistics'), clearly distinguishing it from sibling sql_* tools like sql_execute or sql_aggregate. However, it doesn't specify what analysis or statistics are included, leaving some ambiguity about the exact scope.

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

Usage Guidelines2/5

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 vs alternatives. It doesn't mention prerequisites, typical use cases, or exclusions, leaving the agent without context for selecting this tool over other sql_* tools.

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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