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seayniclabs

Berth

by seayniclabs

db_explain

Analyze SQL query performance by generating execution plans to identify optimization opportunities and improve database efficiency.

Instructions

Run EXPLAIN ANALYZE on a query and return the plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
connection_idYes
sqlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries full burden but only states the basic function. It doesn't disclose behavioral traits such as whether it's read-only, if it affects database performance, requires specific permissions, or has rate limits, leaving significant gaps for a tool that analyzes queries.

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, efficient sentence with zero waste, clearly front-loading the purpose. Every word earns its place, making it appropriately sized for the tool's complexity.

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

Completeness3/5

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

Given the tool's moderate complexity (2 parameters, no annotations, but with an output schema), the description is minimal. It states what the tool does but lacks details on usage, behavior, or parameters, though the output schema may cover return values, keeping it at a baseline adequacy.

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 0%, so the description must compensate but adds no details about parameters. It implies 'sql' is the query to analyze and 'connection_id' identifies the database, but doesn't explain formats or requirements. Baseline 3 is appropriate as it doesn't fully compensate for the coverage gap.

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 clearly states the action ('Run EXPLAIN ANALYZE') and the resource ('on a query'), specifying it returns the execution plan. It distinguishes from siblings like db_query or db_execute by focusing on query analysis rather than execution, though it doesn't explicitly name alternatives.

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?

No guidance is provided on when to use this tool versus alternatives like db_query for actual query results or db_describe for schema details. The description implies usage for query optimization but lacks explicit context 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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