allocate_storage_volume

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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It states a creation action but omits critical details: required permissions, whether the operation is idempotent, potential side effects (e.g., data loss if filename exists), or the structure of the response. The behavioral picture is incomplete.

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 extremely concise: one sentence for purpose followed by a structured Args list. Every line adds value; there is no redundancy or fluff. The structure is easy to scan and directly maps to the input schema.

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?

While the description covers parameters well, it lacks broader context: no mention of prerequisites (e.g., storage availability), postconditions, or potential errors. An output schema exists but its contents are not referenced. The completeness is adequate for a simple creation tool but could better support error handling hints.

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%, but the description compensates by listing all 6 parameters with concise explanations. Notably, 'size' includes an example ('10G') and 'format' clarifies auto-detection and possible values. This adds meaningful context beyond the schema's raw titles and types.

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 clear, specific verb+resource: 'Allocate a new disk volume in storage.' This immediately conveys the tool's core function and distinguishes it from sibling tools like delete_storage_volume or list_storage_content. The parameter list further clarifies the operation.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., existing storage) or contrast with related operations like migrating a volume or resizing. The absence of usage context limits decision-making for an AI agent.

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