How to start with Foodly
get_foodly_startHow a food business starts with Foodly: app download links, the web dashboard and how to subscribe.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_foodly_startHow a food business starts with Foodly: app download links, the web dashboard and how to subscribe.
| 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, idempotentHint=true and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the content scope but says nothing about return format, whether the content is static documentation, or how it relates to the sibling informational tools.
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 that names the audience, the action and the three content areas with no filler. It is appropriately sized for a zero-parameter lookup tool.
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 simple, no-argument, read-only informational tool with annotations covering safety and no output schema, the description tells the agent enough to know what content comes back. Only the relationship to the other get_foodly_* info tools is left unstated.
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 zero parameters, so the baseline of 4 applies. The description correctly implies no input is needed by framing the call as a fixed content lookup.
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 a specific resource — onboarding information for a food business starting with Foodly — and enumerates its contents (app download links, web dashboard, subscribing). That distinguishes it from siblings like get_foodly_plans or get_foodly_faq, though the differentiation is implicit rather than stated.
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 explicit when-to-use or when-not-to-use guidance, and no sibling is named as an alternative. The intent (a new business asking how to get started) is inferable from the content list, but the agent must reason about routing on its own.
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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