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AshwathDAzur

sqlserver

by AshwathDAzur

execute_update

Updates existing rows in a SQL Server table by setting new column values based on a WHERE clause, returning the number of affected rows.

Instructions

Update data in a table. Returns the number of affected rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesObject with column names as keys and new values
whereYesObject with column names as keys and values for WHERE clause
tableNameYesName of the table to update
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions the return value (affected rows) but does not explicitly warn about irreversible data modification, permission requirements, or that updates are limited to rows matching the WHERE clause. Minimal risk information is provided.

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 extremely concise: one sentence with two clauses. Every word earns its place, and the return value is front-loaded, making it easy to parse.

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?

The description is adequate for a simple update command but lacks explicit emphasis on the WHERE-clause filtering, which is crucial for safe usage. Since the where parameter is required, the description could clarify that only matching rows are updated, but the schema conveys this. With no annotations or output schema, the description is serviceable but leaves some context implicit.

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?

The schema covers all three parameters with descriptions, so the baseline is 3. The tool description does not add extra parameter-level meaning beyond what the schema offers; it only provides the return behavior, which is not parameter-specific.

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 states 'Update data in a table' with a specific verb and resource, clearly distinguishing it from siblings like execute_query and execute_insert. The purpose is unambiguous and immediately understandable.

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. There is no mention of prerequisites, exclusions, or comparison with execute_insert or execute_query, leaving the agent to infer usage from the name alone.

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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