List Knowledge Domains
list_knowledge_domainsList installed, compatible knowledge domain packs and their declared capabilities.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domains | Yes |
list_knowledge_domainsList installed, compatible knowledge domain packs and their declared capabilities.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| domains | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered structurally. The description adds only the scoping qualifiers 'installed' and 'compatible' and the fact that declared capabilities are included; with an output schema present, return format need not be restated. Modest added value over annotations.
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 sentence with no filler, front-loading the verb and the resource. Every word earns its place.
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 listing tool with an output schema and complete annotations, the description covers what is needed to invoke it. The only gap is routing guidance against sibling knowledge tools, which is a usage matter rather than a completeness one.
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 per the baseline there is nothing for the description to compensate for. Schema coverage is reported at 100% and the empty object schema is self-explanatory.
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 resource (installed, compatible knowledge domain packs), plus what is returned (declared capabilities). It is clear what the tool does, but it does not explicitly contrast itself with the sibling describe_knowledge_domain, which is the obvious adjacent tool for domain detail.
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 when-to-use guidance, no prerequisites, and no named alternative. The phrase 'installed, compatible' hints at scope, but an agent gets no instruction about when to call this versus describe_knowledge_domain or query_domain_knowledge.
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.