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database_db_execute

Run SQL statements to modify database data or structure, including INSERT, UPDATE, DELETE, CREATE TABLE, and DROP TABLE operations.

Instructions

[database] Run a SQL statement that modifies the database (INSERT, UPDATE, DELETE, CREATE TABLE, DROP TABLE, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sqlYes
paramsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description indicates the tool modifies the database, including destructive operations like DROP TABLE. However, it lacks explicit warnings about irreversible actions, permissions, or side effects. Since no annotations are provided, the description carries full burden for behavioral disclosure, and it falls short of being fully transparent.

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

Conciseness4/5

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

The description is a single sentence, concise and front-loaded with the prefix '[database]'. It efficiently conveys the core function. While it could be structured with bullet points for examples, it is already lean and effective.

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 complexity (database modification with two parameters and an output schema), the description is somewhat incomplete. It does not specify supported SQL syntax, output behavior, or error handling. However, it covers the basic purpose and examples, making it adequate but with gaps.

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

Parameters2/5

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

The input schema has 0% description coverage, so the description must compensate. It does not mention the 'sql' parameter format, SQL dialect expectations, or the 'params' parameter for bind variables. This leaves the agent to guess or rely on external knowledge.

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 runs SQL statements that modify the database, listing examples like INSERT, UPDATE, DELETE, CREATE TABLE, DROP TABLE. This distinguishes it from sibling tools such as database_db_query (which presumably reads data) and database_db_schema (which retrieves schema).

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

Usage Guidelines4/5

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

The description implies use for modifying the database, which differentiates it from querying tools like database_db_query. However, it does not explicitly state when not to use it or mention alternatives (e.g., 'For read-only queries, use database_db_query'). Still, the context is clear.

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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