Agent-class kit
kitOne kit for an agent class (coding, browser, voice, rag, eval-judge, …): picks, quotes, free rows, failures, studies.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| cost | No | ||
| class | Yes |
kitOne kit for an agent class (coding, browser, voice, rag, eval-judge, …): picks, quotes, free rows, failures, studies.
| Name | Required | Description | Default |
|---|---|---|---|
| cost | No | ||
| class | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish that this is a read-only, idempotent, non-destructive, closed-world call, so the safety profile is covered. The description usefully hints at the response composition ('quoting', 'free rows', 'failures', 'studies'), but the terms are undefined jargon that do not let an agent predict the payload. No contradiction with annotations.
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; the class list is compact. The ambiguity comes from under-specification rather than verbosity, so conciseness itself is good.
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 two-parameter aggregation tool with no output schema, the description should explain what the kit contains and how the cost filter changes the result. It leaves both unanswered, so an agent cannot confidently predict the response or when the 'free' variant differs.
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?
Schema description coverage is 0%, so the description must carry parameter meaning. It partially covers 'class' by listing example values already present in the enum, but adds nothing about 'cost' (enum 'free') – the agent cannot tell what filtering by cost actually does.
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 resource ('a kit for an agent class') and enumerates contents ('picks, quotes, free rows, failures, studies'), but never states the verb or the return shape, so it is unclear whether this assembles, retrieves, or summarizes. It is distinguishable from most siblings only through the per-class scoping, not through an explicit contrast with tools like 'bundle' or 'stack'.
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?
There is no guidance on when to call this versus the many overlapping siblings ('bundle', 'stack', 'quote', 'free', 'failures', 'compare'). Usage can only be inferred from the parenthetical list of agent classes; no prerequisites or exclusions 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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