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rsp2k
by rsp2k

start_maintenance

Initiate scheduled maintenance on a Vultr database to apply updates or perform required system operations using the database ID or label.

Instructions

Start maintenance on a database.

Args: database_id: The database ID or label

Returns: Status message confirming maintenance start

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYes
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Start maintenance') which implies a mutation/write operation, but doesn't disclose critical behavioral aspects like: whether this requires admin permissions, if it causes downtime, how long maintenance lasts, what 'maintenance' entails, or error conditions. The return value is mentioned but not explained.

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 appropriately concise with three sentences that each serve a purpose: stating the action, documenting the parameter, and mentioning the return. It's front-loaded with the core purpose. The structure with 'Args:' and 'Returns:' sections is clear though minimal.

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?

For a mutation tool with no annotations, 0% schema description coverage, and no output schema, the description is incomplete. It covers basic purpose and parameter but lacks critical context about behavioral impact, permissions needed, side effects, and detailed return values. The agent would be operating with significant uncertainty about this tool's effects.

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. It documents the single parameter 'database_id' and provides basic semantics ('The database ID or label'), which adds value beyond the bare schema. However, it doesn't explain format expectations, valid values, or provide examples for this critical identifier.

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 ('Start maintenance') and target resource ('on a database'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from potential maintenance-related siblings (like 'stop_maintenance' or 'get_maintenance_updates'), though none appear in the sibling list.

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 versus alternatives. There's no mention of prerequisites, consequences, or when not to use it. Sibling tools include 'get_maintenance_updates' which might be related, but no explicit comparison is made.

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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