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get_api_llm_services

Read-only

Get all enabled LLM services. GET /api/v2/api/llm/services

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is covered. The description adds only the underlying HTTP route, which is marginally useful context; it says nothing about return shape, ordering, or whether disabled services are excluded vs. error.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, purpose front-loaded with zero filler. The trailing raw endpoint is developer-oriented rather than agent-oriented, which keeps it just short of ideal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a no-parameter read tool this covers the essentials, but with no output schema the description does not indicate what a 'service' record contains or how many are returned. An agent knows what to call but not what it will get back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate — baseline 4 per the rubric. The 'enabled' qualifier clarifies the implicit filter applied with no arguments.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Get) and resource (LLM services) with a scoping qualifier ('enabled'), so an agent can tell it apart from the broader get_api_llm and the parameterized get_api_llm_models_serviceId. It doesn't explicitly name those siblings, but the resource/scope is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance and no routing to alternatives, despite a dense sibling set (get_api_llm, get_api_llm_models_serviceId, post_api_llm, put_api_llm_id_model). The 'enabled' filter is a hint but not framed as usage guidance.

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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