Get offers
get_offersPaid offers (second opinions), prices, limits, models and economics. Test payment rails only. No authentication required.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_offersPaid offers (second opinions), prices, limits, models and economics. Test payment rails only. No authentication required.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true and openWorldHint=false. The description adds meaningful behavioral context beyond those annotations by noting that authentication is not required and that this is limited to test payment rails.
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?
Three short sentences with no wasted wording, and the core resource description is front-loaded. The constraints follow naturally.
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 parameterless read-only tool with no output schema, the description gives enough context about the data categories returned and the test-only payment rail constraint. It could be slightly richer about return shape, but the essential information is present.
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 there is no parameter semantics to document. The baseline score for a parameterless tool applies.
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 identifies the resource as paid offers and lists the specific content returned: prices, limits, models, and economics. It is clear what the tool retrieves, though it does not explicitly differentiate itself from siblings such as get_pricing.
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?
It gives contextual constraints ('Test payment rails only', 'No authentication required'), which imply the intended environment. However, it does not say when to use get_offers instead of related tools like get_pricing or create_order.
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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