List survey services
list_servicesThe land surveying services Roome Land Surveying offers, each with its slug for request_quote and its page on roomeinc.com.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_servicesThe land surveying services Roome Land Surveying offers, each with its slug for request_quote and its page on roomeinc.com.
| 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 and openWorldHint=false, so the safety profile is covered. The description adds useful return-shape detail (each service carries a slug and a roomeinc.com page), but says nothing about ordering, caching, or how many services exist.
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 tight sentence with no filler, and the key downstream use (slug for request_quote) is front-loaded alongside the resource itself. Being a fragment rather than a full sentence does not hurt readability.
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, read-only list tool with no output schema, the description does the necessary work of naming the two fields each item carries (slug and page URL). Little more could be added without a return schema.
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 no parameter semantics to explain; baseline 4 applies. Schema coverage is moot for an empty properties object.
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?
It clearly states the resource returned: the catalog of land surveying services offered, with each entry's slug and website page. The verb is only implied (a noun phrase rather than 'List...'), but the resource is unambiguous and tied to the request_quote use case.
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?
Usage is implied rather than stated: mentioning 'its slug for request_quote' hints this is the lookup source for request_quote, but it never explicitly says when to call this versus which_survey or service_area.
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.