gerent365_list_tables
List all business tables to see current seating and availability.
Instructions
Lista las mesas del negocio.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all business tables to see current seating and availability.
Lista las mesas del negocio.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. The verb 'lista' implies a read-only operation, but there is no explicit statement about safety, authorization, pagination, or what data is returned. It is minimally transparent but not misleading.
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?
The description is a single, short, front-loaded sentence with no wasted words. It effectively communicates the tool's purpose without unnecessary elaboration.
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 list tool with no parameters and no output schema, the description is adequately complete. It clearly identifies the resource (business tables) and the action (list). However, it could benefit from mentioning what the output contains or specifying the domain (restaurant tables) to further disambiguate, but it is not critically incomplete.
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, and the schema is an empty object with 100% coverage. Per guidelines, a 0-parameter tool is baseline 4, and the description needs to add no parameter semantics since there are none.
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 'Lista las mesas del negocio' uses a specific verb ('lista') and resource ('mesas del negocio'), clearly indicating it lists the business's tables. This distinguishes it from the sibling tool 'gerent365_create_table', which creates tables.
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?
No usage guidance is provided. The description does not state when to use this tool versus other list tools, nor does it specify any exclusions or alternative tools. The user must infer that it is used when needing to list tables, but no explicit context is 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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