get_capabilities
Returns this server's version, its mode (a person's connection or an autonomous agent's), the API base URL and the tools this connection offers. Reads server metadata only.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns this server's version, its mode (a person's connection or an autonomous agent's), the API base URL and the tools this connection offers. Reads server metadata only.
| 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, idempotentHint, non-destructive, and closed-world, so the safety profile is covered. The description adds genuine context beyond that: the tool touches only server metadata and discloses the return contents (version, mode, base URL, offered tools), including the noteworthy distinction between a person's connection and an autonomous agent's mode.
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, with the return contents front-loaded and the scoping caveat ('server metadata only') last. Every clause carries information; there is no filler.
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 carries the burden of describing the return value, and it does so by enumerating every field an agent would receive. Combined with the annotations and a zero-parameter schema, nothing needed to invoke or interpret the call is missing.
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, which is the baseline-4 case. No parameter ambiguity exists to resolve, and the description correctly implies a no-argument call.
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 ('Returns') and enumerates exactly what the resource is: server version, mode, API base URL, and the tools the connection offers. That enumeration makes it unmistakable against the booking/search siblings, which all deal in travel data rather than server metadata.
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?
'Reads server metadata only' implies a discovery/status role and implicitly excludes booking operations, which is useful scoping. However, it never states when an agent should call this (e.g., 'call first to discover available tools') or contrast it with any sibling, so usage is only implied.
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.