get_api_llm
Get all LLM API keys for user. GET /api/v2/api/llm
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get all LLM API keys for user. GET /api/v2/api/llm
| 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, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds only the user-scoping ('for user') and the REST endpoint path, but says nothing about pagination, result size, or whether keys are masked.
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 with the purpose front-loaded; every clause is brief. The trailing 'GET /api/v2/api/llm' is largely redundant implementation detail but adds negligible bloat.
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 tool with no output schema, the description plus annotations cover what an agent needs to invoke it. The only gap is return behavior (pagination/shape), which is minor for a simple list endpoint.
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. The schema is trivially complete and the description introduces no parameter ambiguity.
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 (Get) and resource (all LLM API keys for the user), which is distinguishable from siblings like get_api_llm_services and get_api_llm_models_serviceId. It is clear but does not explicitly contrast itself with those siblings, so it stops short of a 5.
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 statement of when to use this tool versus get_api_llm_services, get_api_llm_models_serviceId, or post_api_llm. The read-only listing purpose is inferable from the verb, but there is no explicit context or exclusion.
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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