get_item
Get full details of a saved item by ID. Returns a static snapshot from the user's Grabblist.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The item ID |
Get full details of a saved item by ID. Returns a static snapshot from the user's Grabblist.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | The item ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safety profile (readOnlyHint, idempotentHint, destructiveHint). The description adds useful context such as 'static snapshot' and 'user's Grabblist', but does not disclose details about error handling or the exact contents of the snapshot.
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?
Two short sentences with no wasted words. The action and target are front-loaded, making the purpose immediately apparent.
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 simple 1-parameter read tool with robust annotations, the description is adequate. It states what it does and the nature of the return ('static snapshot'). The lack of an output schema leaves the exact fields ambiguous, but given the simplicity, this is a minor gap.
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 100% coverage for the single parameter 'id', described as 'The item ID'. The description only repeats 'by ID' and adds no additional semantic meaning, so baseline 3 is appropriate.
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 uses a specific verb ('Get') and clearly specifies the resource ('full details of a saved item by ID'). It explicitly mentions 'static snapshot', which differentiates it from sibling tools like get_item_history or get_item_graph.
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 implies a clear read-only use case but does not explicitly compare with alternatives or state when not to use it. The phrase 'static snapshot' hints at a distinction, but direct guidance on tool selection is missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have clearly distinct purposes with no obvious duplicates. The only potential overlap is between update_item and update_price, but the descriptions clarify that update_price is specifically for manual price corrections with history tracking.
All tool names follow the snake_case verb_noun pattern consistently (e.g., add_item, create_collection, get_item_graph). Slight deviations like add_to_collection and ping are still predictable and conventional.
With 23 tools, the server sits in the heavy range (16-25). While each tool serves a distinct purpose, the count is higher than typical for a shopping-save app and may feel overwhelming, though not excessive.
The tool surface covers full CRUD for items and collections, relations, history, activity, and utilities. Minor gaps exist—such as no dedicated 'move item between collections' tool—but workarounds are possible using existing tools.