List machine offers
list_machine_offersList available quote-only Solvion machine offers.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_machine_offersList available quote-only Solvion machine offers.
| 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?
Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. However, the description adds no additional behavioral context—no mention of pagination, authentication, rate limits, or output format. It simply restates the core action without enriching what annotations already declare.
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 sentence, front-loaded with the verb 'List' and the resource. Every word earns its place, with no fluff or redundancy. It is appropriately minimal for a parameterless listing operation.
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?
While the tool is simple with no parameters and safety is covered by annotations, the description does not specify what the returned list contains (e.g., fields like model, price, availability) or any pagination/filtering behavior. Since there is no output schema, this information could help the agent understand the expected response, but the description remains functional for a basic listing.
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?
There are zero parameters, and schema coverage is 100% (empty object). Baseline for 0 params is 4, and the description doesn't need to explain any parameters. It correctly avoids adding irrelevant parameter details.
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 verb 'List' and the resource 'available quote-only Solvion machine offers,' making the purpose unambiguous. It also distinguishes from sibling request_machine_quote by indicating this is a listing operation rather than a request action.
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?
No explicit guidance on when to use this tool versus alternatives. It doesn't mention conditions for using this over request_machine_quote or other siblings, nor any exclusions. The purpose implies listing, but the agent is left to infer when this is the appropriate choice.
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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