add_to_selection

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

No annotations provided, so description carries full burden. It fails to disclose basic behaviors such as whether items already selected are ignored, whether duplicates are handled, or if the operation is additive.

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?

Single sentence is efficiently front-loaded, but it's under-informative. Conciseness is not synonymous with brevity when key information is omitted.

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?

Despite having a simple signature and output schema, the description lacks essential context about behavior, edge cases, and typical usage. It does not sufficiently inform an AI agent for correct invocation.

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 has one required parameter 'item_ids' with 0% description coverage. Description does not explain the expected format (UUID strings?) or constraints beyond the schema type 'array'. No value added.

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?

Description clearly states action ('add') and object ('items to selection'), with scope ('by UUID'). It's a specific verb+resource pair. However, it doesn't distinguish from sibling tools like 'remove_from_selection' or 'clear_selection'.

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 guidance on when to use this tool versus alternatives like 'remove_from_selection' or 'get_selection'. Usage context is entirely implied by the tool name.

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