Skip to main content
Glama

nexus_configure

Set API keys, base URLs, and enable or disable AI providers directly from chat. Configure provider settings without leaving your conversation.

Instructions

Configure a provider directly from chat — set API keys, base URLs, enable/disable providers. For full management, use the web dashboard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyNoAPI key for this provider
baseUrlNoCustom base URL (for self-hosted or proxy endpoints)
enabledNoEnable or disable this provider
authModeNoAuth mode: "api-key", "browser", or "none"
providerYesProvider ID to configure. Available: openai, gemini, anthropic, mistral, cohere, groq, together, perplexity, deepseek, xai, huggingface, openrouter, nvidia, fireworks, cerebras, sambanova, deepinfra, ai21, abacus, copilot, opencode-zen, custom, ollama, lmstudio, llamacpp, localai, vllm

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

Annotations are absent, so the description must disclose behavior on its own. It never says whether configuration changes are persistent, global, immediately applied, or what happens to existing keys/settings when only a partial config is sent; it also doesn't warn about sensitive API key handling. This is a meaningful gap for a state-changing tool.

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?

The description is just two sentences and front-loads the action before moving to the dashboard pointer. The phrase 'directly from chat' adds little because all MCP tools are invoked from chat, so it is the only mildly redundant element.

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

Completeness2/5

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

For a mutation tool with no output schema and no annotations, the definition omits expected results (confirmation/errors), persistence/scope, and any prerequisites like existing provider records. The input schema covers parameters, but the description does not round out the call context sufficiently.

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

Parameters3/5

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

Schema coverage is 100%, so the schema alone documents all five parameters and the provider enum. The description only restates the parameter themes (API keys, base URLs, enable/disable) and adds no extra meaning such as defaults, precedence, or validation rules.

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?

The description uses a specific verb and resource ('Configure a provider') and lists concrete settings (API keys, base URLs, enable/disable), making the core action clear. It does not explicitly contrast with adjacent tools like nexus_reauth or nexus_switch_model, so sibling differentiation is only implicit.

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

Usage Guidelines3/5

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

It establishes a clear context for use ('directly from chat') and steers 'full management' to the web dashboard, which is a weak when-not signal. It offers no guidance on when to prefer nexus_configure over sibling tools such as nexus_reauth for authentication issues.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.