list_units
List all supported baking units and their types (mass/volume). Free tier: 20 calls/day per IP.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all supported baking units and their types (mass/volume). Free tier: 20 calls/day per IP.
| 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?
With no annotations, the description carries the full burden. It discloses the rate limit and the mass/volume classification, which is useful. However, it does not describe the return format (e.g., array, object structure) or any pagination/ordering behavior.
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 sentences, front-loaded with the primary purpose and a concise rate-limit note. Every word earns its place; no fluff.
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 list tool with no output schema, the description provides the essential information: what is listed and the rate limit. It could optionally describe the exact output structure, but is otherwise complete for its simplicity.
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 the baseline is 4. The description clarifies what the output will contain (units and their types), adding meaning beyond the empty schema.
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 uses the specific verb 'List' and clearly identifies the resource ('supported baking units') and the key differentiator ('types (mass/volume)'). It distinguishes itself from sibling tools like convert_amount and search_ingredients, which perform different functions.
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?
The description establishes clear context: this is the tool for listing all supported baking units. It does not explicitly mention alternatives or exclusions, but no alternatives are needed for a simple listing operation. The rate limit adds practical usage guidance.
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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