get_help
Get usage guide for outtolunch.app — explains available tools, parameters, formats, sections, and best practices for grounding AI responses in current facts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get usage guide for outtolunch.app — explains available tools, parameters, formats, sections, and best practices for grounding AI responses in current facts.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Despite no annotations, description discloses what the guide contains (tools, parameters, formats, sections, best practices), providing useful behavioral context beyond the empty schema.
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?
Single sentence, front-loaded, every word earns its place.
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 help tool, the description fully explains what the tool does and what it returns, meeting all needs.
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?
No parameters; baseline 4 applies. Description adds value by detailing the content of the returned guide.
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?
Clearly states 'Get usage guide for outtolunch.app' with a specific verb and resource. The sibling tool 'get_world_briefing' is distinct, so no confusion.
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?
Implies usage when help is needed, but no explicit guidance on when to use versus the sibling or alternatives.
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.
The two tools have clearly distinct purposes: get_help provides usage guidance, while get_world_briefing delivers current factual data. There is no overlap or ambiguity.
Both tools use a consistent verb_noun pattern in snake_case (get_help, get_world_briefing), making the naming predictable and clear.
With only 2 tools, the server is on the low end of typical scoping. While the single data tool is comprehensive, the small number may feel insufficient for a broad domain like 'current facts' covering many categories.
The server covers its domain of providing current facts comprehensively through a single parameterized tool (get_world_briefing) that can return all sections or specific ones. There are no missing operations for a read-only factual service.