The comparison table
compare_tableEach option's value on every criterion of the Routes from a Chinese factory into Amazon US comparison — the full table.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| option | No | one option's name, else all |
compare_tableEach option's value on every criterion of the Routes from a Chinese factory into Amazon US comparison — the full table.
| Name | Required | Description | Default |
|---|---|---|---|
| option | No | one option's name, else all |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool returns 'the full table' but does not describe the output format, whether it includes all options or criteria by default, or any side effects. The behavior regarding the optional 'option' parameter is only implied in the schema, not in the description.
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 a single, concise sentence that front-loads the core information (the full table of option values on criteria). It avoids unnecessary words, though it could be structured to include usage hints without much added length.
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?
Given the simplicity (one optional parameter, no output schema, no annotations), the description provides the essential purpose but lacks usage context and does not explain what the table structure looks like or how to interpret results. It is adequate for a basic call but leaves gaps for an agent trying to decide when to use it or what to expect.
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 100% (the single 'option' parameter has a description: 'one option's name, else all'). The tool description adds no extra meaning beyond the schema, so it does not compensate or enhance the parameter semantics. The baseline of 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 clearly identifies the tool as returning the full table of each option's value on every criterion for the specific Routes from a Chinese factory into Amazon US comparison. It distinguishes itself from siblings like compare_criteria and compare_options by indicating it provides the complete matrix, not just comparisons.
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?
There is no guidance on when to use this tool versus alternatives such as compare_criteria or compare_options. The description does not mention any conditions, filters, or exclusions that would help an agent decide between siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.