get_service_areas
List the Southwest Florida cities and counties Waves Pest Control serves.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List the Southwest Florida cities and counties Waves Pest Control serves.
| 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?
No annotations are provided, so the description carries the full disclosure burden. "List" implies a read-only operation and the phrase "cities and counties Waves Pest Control serves" tells the agent roughly what comes back, but nothing is said about the result being a static/fixed dataset, whether it is paginated or exhaustive, or the format returned. For a zero-argument lookup the behavioral surface is small, so this is adequate but not rich.
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?
One short sentence that front-loads the action and the dataset boundary. Every word earns its place with zero boilerplate or repetition of the tool name.
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?
With no annotations, no output schema, and zero parameters, the description supplies the essential information: this returns a coverage list of cities and counties. A brief note on whether the list is exhaustive or how it is returned would close the remaining gap, but nothing critical is missing for an agent to call it correctly.
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 there is nothing for the description to disambiguate; baseline for a no-param tool is 4. The absence of parameters is not explicitly acknowledged, but the schema makes it evident.
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?
States a specific verb ("List") and a precisely scoped resource (Southwest Florida cities and counties served by Waves Pest Control). It is trivially distinguishable from siblings like list_services and get_pricing_ranges, which cover services and pricing rather than geography, so an agent can route to it without opening any schema.
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 explicit when-to-use, when-not-to-use, or named alternative is given. However, the tool's scope is so narrow and unambiguous (any question about coverage area) that correct usage is strongly implied rather than inferred from nothing. It stops short of the routing language that would earn a 4 or 5.
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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