db_update

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

With no annotations, the description carries the behavioral burden. It does disclose a key side effect ('region: New region (requires migration)') and flags engine-specific parameters with 'MySQL only', 'Valkey only', and 'Kafka only'. However, it does not mention potential plan-scaling effects, whether unset fields remain unchanged, or permission requirements.

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

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

The description is appropriately sized for a 15-parameter tool: one lead sentence, a compact Args list, and a short Returns line. It is structured and front-loaded with the core purpose, with no filler; the Returns line is slightly redundant given the output schema but not harmful.

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

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

For a complex tool with 15 parameters, no annotations, and zero schema-level descriptions, the definition covers every parameter and adds engine-specific context. It is missing guidance on when to choose this tool, more behavioral warnings beyond region migration, and clarity about null semantics or required permissions, leaving some gaps for an agent operating autonomously.

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

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

Schema description coverage is 0%, so the description is the primary source of parameter meaning. It adds genuine semantics for most parameters: database_id can be an ID or label, region requires migration, plan is for scaling, timezone includes format examples, trusted_ips uses CIDR notation, and engine-specific flags are labeled. A few entries (label, tag, vpc_id) mostly restate the parameter names, but the overall coverage is strong.

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

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

The description opens with a specific verb+resource: 'Update a managed database configuration.' This clearly distinguishes it from create/delete/read-replica operations and from sibling tools like db_update_user or db_update_connection_pool, which target different aspects of the database service.

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

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

No explicit guidance is given about when to use this tool versus db_update_user, db_update_connection_pool, db_update_kafka_topic, or other update-oriented siblings. There are no stated prerequisites, exclusions, or alternative routing; usage must be inferred from the name and the one-line purpose.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.