list_offers
List every live product on the ANAMIZED desk (subscriptions, cycles, consulting, support).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | Optional filter by product kind. |
List every live product on the ANAMIZED desk (subscriptions, cycles, consulting, support).
| Name | Required | Description | Default |
|---|---|---|---|
| kind | No | Optional filter by product kind. |
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 full disclosure burden. It does reveal a behavioral trait by limiting results to 'live' products, but it omits pagination behavior, result limits, ordering, and authentication requirements, leaving gaps for a list operation.
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 with no filler. Every word contributes to the tool's purpose, and the parenthetical adds useful category context despite the minor 'cycles' terminology issue.
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 tool with one optional parameter and no output schema, the description covers the core scope, but it omits return format and pagination details. The 'cycles' versus 'metered' mismatch also leaves a definitional gap, making the description adequate but not complete enough for a higher rating.
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 input schema already fully documents the optional 'kind' parameter with an enum, so the baseline is 3. However, the description lists 'cycles' while the schema enum uses 'metered', an inconsistent term that could lead an agent to pass an invalid filter value, reducing the value the description adds.
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 ('List') and a clear resource ('every live product on the ANAMIZED desk'), and the 'every' qualifier distinguishes it from the sibling get_offer, which presumably retrieves a single offer. The parenthetical enumerating categories further clarifies the scope.
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 intended use is implied—list all live products—but there is no explicit guidance about when to use this tool versus alternatives like get_offer or checkout_link, and no when-not-to-use conditions are given.
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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