List data services
list_servicesThe workspace's services with their engine, version, state, hostname and size class. No credentials: none is returned by any tool.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_servicesThe workspace's services with their engine, version, state, hostname and size class. No credentials: none is returned by any tool.
| 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?
The readOnlyHint annotation already covers the safety profile, so the description's added value is the credentials caveat ('none is returned by any tool'), which stops an agent from hunting for secrets via this call. It also enumerates the returned fields, useful given no output schema, though it doesn't say whether stopped or deleted services are included.
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 tight sentences, zero filler, with the resource scope front-loaded and the credentials caveat appended as a caution. Nothing could be cut without losing signal.
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 return shape, and it does list the fields. Minor gaps remain — no mention of filtering, ordering, or whether inactive services appear — but for a zero-argument list tool this is close to 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 there is nothing for the description to disambiguate; the 4 baseline applies. The listing of return fields is a bonus rather than parameter guidance.
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 (the workspace's services) and enumerates exactly which attributes come back (engine, version, state, hostname, size class), which is more precise than the title alone. It doesn't explicitly contrast with get_service, but the list-vs-single distinction is carried by the name and the plural scope.
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 statement of when to call this versus get_service, list_projects, or list_versions, and no preconditions or exclusions are given. Usage has to be inferred entirely from the tool name.
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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