get_quote
Free quote for Kit Lite $9 instant spend-cap pack. Call before buy_kit_lite.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Free quote for Kit Lite $9 instant spend-cap pack. Call before buy_kit_lite.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
No annotations are provided, so the description carries the full burden. It conveys that the quote is free and must be obtained before buy_kit_lite, but says nothing about side effects, returned data, idempotency, validity, or whether it creates any state. This is a thin behavioral picture.
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?
Two short sentences each earn their place: the first states the offering, the second gives the critical sequencing rule. There is no filler and the key instruction is front-loaded.
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?
The tool is simple with no parameters and the usage rule is clearly given. However, because there is no output schema and no annotations, the description should describe what the quote response contains or any further prerequisite behavior; it does not, leaving the tool minimally but not fully complete.
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 declares zero parameters, so the description has no parameter semantics to add; the baseline of 4 applies. The empty schema with additionalProperties true imposes no parameter contract, so no further explanation is required.
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 names the specific resource ('Kit Lite $9 instant spend-cap pack') and the operation ('Free quote'), and the closing mention of buy_kit_lite helps distinguish this tool from the purchase siblings. It lacks an explicit 'returns a quote' phrasing, but the name and object make the purpose clear.
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?
'Call before buy_kit_lite' explicitly states when to use this tool relative to a sibling. It does not spell out exclusions or all alternatives, but the sequencing instruction is enough to route an agent correctly for this simple flow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct pack or the quote flow, but buy_kit_lite and buy_spend_gov both involve spend controls and could be confused without careful reading. get_quote is clearly separate as a free pre-purchase step.
All paid products follow a consistent buy_<pack> snake_case pattern, and get_quote uses a different verb that fits its non-paid purpose. The naming convention is predictable and easy to navigate.
Five tools is well-scoped for a small monetization-pack server. Each buy tool corresponds to a distinct product, and get_quote adds a necessary pre-purchase action without bloat.
The server covers all advertised packs plus the main quote flow, so agents can complete purchases end-to-end. A minor gap is that quotes are only offered for buy_kit_lite rather than every pack, but this does not break core workflows.