aras_bulk_update

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

With no annotations, the description carries the burden of behavioral disclosure. It does disclose that dryRun is default and lists without writing, implying that without dryRun it does write. However, it does not explicitly warn that updates are permanent, that a large number of items could be affected, or any authorization requirements. The mutating nature is implied but not 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.

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

The description is concise: two sentences with no filler. It front-loads the main purpose and then highlights the dryRun default. No additional structure needed. It could be slightly expanded with key parameter notes, but it is appropriately brief.

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 bulk mutation operation with no annotations, no output schema, and only partial parameter coverage, the description is incomplete. It does not explain the return value, the constraints on massimo, the requirement for exact itemType, or the irreversible nature when dryRun is false. An agent would need to infer or inspect the schema further to use it safely.

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 coverage is low (2 out of 5 parameters have descriptions). The description adds value by explaining dryRun and the filter concept, but it does not mention itemType (essential for the operation) or massimo (the limit on number of items processed). For a bulk operation, these are critical, and the description fails to compensate for the schema gaps.

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 clearly states the tool performs a bulk update of items matching an OData filter. The verb 'Aggiorna' (update), resource 'tutti gli elementi' (all items), and scope 'in blocco' (bulk) are explicit. This distinguishes it from sibling tools like aras_update_item which updates a single item, and from query tools that only read.

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 gives the default behavior of dryRun (listing without writing) but does not explicitly state when to use this tool versus alternatives. It implies the use case (bulk updates based on a filter) but omits exclusions, such as when to prefer single update or when the filter might be too broad. No alternative tools are mentioned.

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