Get services
get_servicesReturn what ARCLERA DIGITAL, LLC does. Relevant when judging whether a piece of work is in scope.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_servicesReturn what ARCLERA DIGITAL, LLC does. Relevant when judging whether a piece of work is in scope.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare this as read-only, idempotent, and non-destructive, so the description doesn't need to restate safety. However, it does not add any behavioral details beyond the annotations, such as return format or pagination.
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?
Two sentences with no filler; the first states the core function, the second gives a use case. Very efficient and front-loaded.
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 utility tool with sibling differentiators, the description fully explains what it does and when it's useful. No output schema means return details aren't required.
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?
There are no parameters, and schema coverage is 100% (empty schema). The description doesn't need to explain parameters; it's self-contained. Baseline 4 applies.
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 clearly states the tool returns 'what ARCLERA DIGITAL, LLC does,' naming the specific resource and action. It distinguishes itself from siblings by focusing on services/scope, while get_company and get_contact handle other company details.
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?
It explicitly provides a use case: 'Relevant when judging whether a piece of work is in scope,' giving the agent context for when to invoke it. It doesn't explicitly mention alternatives or exclusions, but the sibling tools imply different purposes.
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.
Each tool has a distinct, non-overlapping purpose: legal identity, contact channel, and services. There is no ambiguity about which tool to use for a given query.
All tool names follow a uniform 'get_' prefix followed by a singular noun (company, contact, services). The naming pattern is perfectly consistent and predictable.
Three tools is an appropriate scope for a server dedicated to providing basic company information. Each tool earns its place without redundancy or excess.
The set covers the core aspects of company information: legal identity, contact, and services. A minor gap might be address or team details, but for the stated purpose, the coverage is solid.