llm_providers
llm_providersAvailable provider chain of the MCO LLM router. / MCO LLM 라우터 가용 프로바이더 체인 목록
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
llm_providersAvailable provider chain of the MCO LLM router. / MCO LLM 라우터 가용 프로바이더 체인 목록
| 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, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered structurally. The description adds essentially nothing beyond that — it restates the resource and does not explain ordering/fallback semantics of the 'chain', freshness, or environment scope.
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?
Very short and front-loaded with the core noun phrase, with no filler. The only inefficiency is the identical content repeated in English and Korean, which doubles length without adding information for a single-language reader.
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 shape, and it only says 'provider chain' without clarifying whether the result is an ordered fallback list, names only, or includes health/status. For a simple no-arg read tool it is minimally adequate, but the return structure remains ambiguous.
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 are no semantics to document and the baseline is 4. The description correctly implies a no-argument, whole-list retrieval.
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 a specific resource (the MCO LLM router's available provider chain), which tells an agent exactly what data comes back. It does not, however, distinguish this tool from the sibling llm_route_stats or video_providers, so the agent must infer which router-related tool to pick. Clear but undifferentiated.
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 llm_route_stats or video_providers, and no prerequisites or context are given. The agent is left to infer usage entirely from the name and resource phrase.
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.