compare_drinks
Compare two to ten products side by side, field by field, each value with its source page.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| record_ids | Yes |
Compare two to ten products side by side, field by field, each value with its source page.
| Name | Required | Description | Default |
|---|---|---|---|
| record_ids | Yes |
Changes observed during successful MCP inspections.
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 reveals that the tool compares 2-10 products and includes source pages for each value, which is useful. However, it doesn't disclose whether this is a read-only operation, how results are structured, or any side effects. The lack of annotations makes this a moderate gap rather than a severe one.
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, dense sentence that front-loads the core action ('Compare two to ten products side by side') and adds the key detail about source pages. Every word earns its place; no filler or repetition.
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 comparison tool with one parameter and no output schema, the description covers the input semantics and the comparison behavior. However, it doesn't describe the output format or how the comparison is presented, which an agent might need to know to interpret results. The absence of annotations and output schema leaves some gaps, but the tool is simple enough that this is adequate.
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%, so the description must compensate. It explains that record_ids refers to products to compare and that the comparison is field-by-field with source pages. It doesn't detail the format of record_ids, but the schema already specifies an array of strings with min/max items. The description adds meaningful context about what the parameter represents.
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 states a specific verb ('Compare') and resource ('two to ten products') and explains the comparison is 'field by field, each value with its source page.' This clearly distinguishes it from sibling tools like get_record or search_drinks, though it doesn't explicitly name a sibling alternative.
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 usage: when you need to compare multiple products side by side. It doesn't explicitly state when not to use it or name alternatives like get_record for a single product. The context is clear enough for an agent to infer the primary use case, but exclusions are absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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