ping
Test connectivity to Grabblist and return service version.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Test connectivity to Grabblist and return service version.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, and non-destructive behavior, lowering the bar. The description adds that the tool returns the service version, which is a useful behavioral detail beyond the annotations. There is no contradiction between description and annotations.
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?
A single, front-loaded sentence that conveys the essential action and return value. Zero wasted words; every part earns its place.
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 zero-parameter, simple connectivity test with comprehensive annotations, the description is fully complete. It states the action and the return value, and no output schema is needed. There are no gaps.
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?
The tool has zero parameters, so the description has no parameter semantics to explain. The schema is trivially covered (100%). Baseline for zero parameters is 4, and the description adds nothing needed.
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's function with a specific verb ('Test') and resource ('connectivity to Grabblist'), and also indicates the return value ('service version'). This distinguishes it from all sibling tools, which focus on item/collection management, not connectivity.
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 purpose is self-evident: use this tool when you need to verify connectivity to Grabblist. No alternatives are mentioned, but none exist among the siblings. The description implies a clear use case without explicit exclusions, which is sufficient for a simple ping tool.
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.