Skip to main content
Glama

get_agent_connect_config

Returns ready-to-paste MCP configuration for Cursor, Claude Code, or Codex. Use on the Connect page or when setting up a new project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clientNoTarget agent client. Omit to get all configs.

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It communicates that the tool returns ready-to-paste configuration, implying a read-only operation, but does not explicitly mention side-effect absence, authentication requirements, or error behavior. Still, for a simple retrieval tool, this level is acceptable.

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

Conciseness5/5

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

A single front-loaded sentence conveys purpose, output format, and context of use without any wasted words.

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

Completeness5/5

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

This is a simple tool with one optional enum parameter and no output schema. The description adequately covers what it does, what it returns, and when to use it, making it complete for the given complexity.

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 description coverage is 100%: the parameter 'client' already provides a full description ('Target agent client. Omit to get all configs.'). The tool description adds nothing beyond the schema, so a baseline of 3 is appropriate.

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 uses a specific verb ('Returns') and a clear resource ('MCP configuration') with target clients ('Cursor, Claude Code, or Codex'). It distinguishes itself from sibling tools that focus on components, prototypes, or design guidelines.

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

Usage Guidelines4/5

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

Explicitly states when to use: 'Use on the Connect page or when setting up a new project.' It doesn't mention alternatives or exclusions, but for a config-getter there are no overlapping sibling tools, so this is clear enough context.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes, but there is some overlap between review_generated_code and validate_component_usage, and between list_components and search_components. However, descriptions clearly differentiate their intended use cases, reducing ambiguity.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case (e.g., get_component_info, generate_component, review_generated_code). The naming is predictable and clearly indicates the action.

Tool Count5/5

14 tools is well-scoped for a UI design system assistant. It covers component discovery, detailed info, design guidelines, theme, code generation and validation, and prototype management without being overwhelming.

Completeness5/5

The tool set covers the full workflow: discover components, get patterns, get design guidelines, generate and validate code, get tenant theme, deploy prototypes and collect feedback. No obvious gaps for the intended usage scenario.

Resources