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Glama

Generate MCP setup config

generate_runtime_config

Generate the install + client config for an MCP server in a given runtime (claude-desktop, cursor, vscode, windsurf, cline, continue, goose, openai-agents, langgraph, crewai).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesServer slug
runtimeYesRuntime slug, e.g. 'claude-desktop'

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits (e.g., whether the generation is destructive, requires authentication, or produces a file vs. returning data). It lacks context beyond the basic action.

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 a single concise sentence that front-loads the purpose. However, it could be slightly restructured to pair purpose with parameter details more explicitly; still, no wasted words.

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 simple two-parameter tool, the description covers the generation goal and runtime examples but omits the output format (e.g., JSON, YAML) and whether the config is printed or saved. Without an output schema, these details are important for agent behavior.

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?

Schema coverage is 100% with basic descriptions ('Server slug', 'Runtime slug'), but the description adds significant value by enumerating 9 specific runtime examples, helping agents understand valid values beyond the schema.

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

Purpose5/5

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

The description clearly states the verb 'Generate' and resource 'install + client config for an MCP server in a given runtime', listing specific runtimes, which distinguishes it from siblings like list_runtimes or get_server that do different operations.

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?

The purpose is clear but no explicit guidance on when to use versus alternatives. The sibling tools include related functions like get_server and list_runtimes, but no comparison or exclusivity is mentioned.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct operation: checking trust, comparing servers, generating configs, fetching records, listing capabilities or loadouts, searching, planning, and reporting. No two tools overlap in purpose; even similar verbs like 'get' and 'list' are applied to different resources.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., check_trust, get_server, list_capabilities). The verbs are specific and descriptive, and the nouns clearly indicate the target resource or action.

Tool Count5/5

14 tools is well-scoped for a server that indexes and evaluates MCP servers. The number is sufficient to cover core operations (retrieval, comparison, configuration, planning, reporting) without being overwhelming or redundant.

Completeness5/5

The tool surface covers all essential interactions: exploring servers, capabilities, loadouts, and stats; comparing and trusting; generating configs; planning toolkits; and reporting issues. The domain is fully served with no obvious missing capabilities.