Test API key
loops_test_api_keyVerify the configured Loops API key and return the team name — a good first call. Loops API: GET /v1/api-key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
loops_test_api_keyVerify the configured Loops API key and return the team name — a good first call. Loops API: GET /v1/api-key.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Input schema / $schemaPrevious value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already establishes the safety profile, and the description adds context beyond that: this is a zero-side-effect GET against /v1/api-key and its observable outcome is the team name. It stops short of describing error behavior for an invalid key.
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 short sentences, front-loaded with the action and outcome, plus a usage hint and the endpoint. Nothing is padded and nothing essential is omitted.
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 tool with no output schema, the description covers what it does, what it returns, and when to call it. Only the failure mode (what happens with an invalid or missing key) is left implicit.
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 no parameters, so per the baseline the schema carries no semantic burden and the description need not explain inputs. It correctly signals that the key is read from configuration rather than passed in.
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 and resource: verify the configured Loops API key and return the team name. No sibling tool does anything similar (they are all contact/list/event operations), so the agent can distinguish it instantly. It even names the underlying endpoint for precision.
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?
"A good first call" gives clear positive guidance on when to reach for this tool — at the start, to validate credentials before running other Loops operations. There is no competing alternative to exclude, but no explicit statement of what to do when verification fails.
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.