List services
list_servicesEvery add-on with its price, whether it can go on a formation, and whether the owner orders it from their dashboard.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_servicesEvery add-on with its price, whether it can go on a formation, and whether the owner orders it from their dashboard.
| 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, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds useful domain context about what each record carries (price, formation compatibility, ordering channel), but says nothing about ordering, pagination, or whether the list is tenant-specific.
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 resource is front-loaded. It is a fragment rather than a complete clause, but every word carries information.
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 output schema, the description must convey the return shape, and it names three attributes of each add-on. It omits how to identify a service when passing it to quote_formation or create_application, which is the key follow-up action, so it is adequate but not fully self-sufficient.
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 the baseline is 4 and there is nothing for the description to disambiguate. It correctly does not waste space on argument meaning.
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 names the resource ('every add-on') and enumerates the three facts returned per item: price, formation eligibility, and whether the owner self-orders from the dashboard. That is specific enough to distinguish it from the pricing and class-listing siblings, though it never states the verb 'list' or explicitly contrasts with get_pricing.
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?
There is no guidance on when to call this versus get_pricing, quote_formation, or suggest_alternatives, and no stated preconditions. The agent must infer from the returned fields that this is a catalog-discovery call.
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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