The build kit
get_build_kitWhat the build kit is (the step-by-step plan an AI assistant follows to build your own version of this bot), its price and where to get it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_build_kitWhat the build kit is (the step-by-step plan an AI assistant follows to build your own version of this bot), its price and where to get it.
| 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 declare readOnlyHint=true and openWorldHint=false, so the safety profile of this zero-argument call is fully covered. The description adds content scope (price and availability information are returned) but says nothing about response format, whether pricing is embedded text or a link, or how current the price is. 'Where to get it' implies a URL or pointer, which is modestly useful behavioral context.
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 sentence with no wasted words, and the payload contents (definition, price, source) are listed up front. The parenthetical explanation is dense but genuinely informative rather than filler.
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 zero-parameter, read-only information lookup with no output schema, the description covers what an agent needs before calling: what subject it answers and what facts come back. Minor gap in not stating the response shape, but the tool's simplicity keeps that low-stakes.
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 takes no parameters, so there is nothing for the description to disambiguate beyond the input schema. Baseline of 4 applies for a correctly parameterless tool; the description does not need to compensate for anything.
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 (the build kit) and enumerates the content it returns: what it is, its price, and where to obtain it. The parenthetical clarifies what 'build kit' actually means, which an agent could not infer from the name alone. It does not explicitly contrast with siblings like get_summary or get_design_decisions, but the distinct content scope is clear enough to separate them.
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?
Usage is only implied: an agent should call this when a user asks about purchasing or understanding the build kit. There is no explicit when-to-use statement, no exclusions, and no mention of the sibling informational getters that might overlap with a general question about the bot.
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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