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The Ultimate Modular Autonomous Multi AI Agent Framework. A framework for building agentic AI systems with support for agents, pipelines, routers, task engines, and browser automation.
SuperAgentX presents a framework with 11 tools that have basic structures but significant quality gaps. Tool names follow verb_noun conventions adequately (fetch_weather, fetch_stock, etc.), but descriptions are sparse (typically 8-15 words, well below the 194-char baseline). Input schemas are present for all tools but lack detail, many parameters have minimal or no descriptions. The framework appears to be a demonstration/template system rather than a production-grade MCP server. No evidence of error handling strategies, output schema documentation, or pagination support. The transport mechanism is undeclared (marked UNKNOWN), which prevents full protocol assessment.
Combine successful API results from weather, stock, and news calls
Echo back a given value
A method that intentionally fails for testing purposes
Fetch news information for a given topic
Fetch stock information for a given symbol
Fetch weather information for a given city
Get the age of the framework
Descriptions are critically brief (8-35 characters, well below 194-char baseline). Examples: 'Get the name of the framework' (31 chars), 'Get the age of the framework' (28 chars). Baseline for A+ tools is 194 chars. These minimal descriptions provide insufficient context for LLM tool selection and do not explain WHEN to use each tool.
No output schema documentation visible. Tools like fetch_weather, fetch_stock, and fetch_news lack documented return structures. LLMs cannot infer what fields to expect or how to chain outputs to downstream tools. This prevents idiomatic composition.
Parameter descriptions are missing or trivial. The 'city' parameter in fetch_weather has description 'The city name to fetch weather for' (36 chars), but does not specify expected format, constraints, or examples of valid input. This forces LLMs to guess.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | D | 54 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 34 | 1.7.0+ | v1 |
Return the user's first name or default to 'SuperAgentX'.
Get the name of the framework
Greet a user by name
Send a greeting message.
No error handling or recovery guidance. The tool 'fail_method' explicitly fails, but there is no documented error message, retryability classification, or guidance on what to do if the call fails. Tool descriptions do not mention error scenarios or prerequisites.
Ambiguous tool naming and composition. 'combine_successful' accepts three object parameters (weather, stock, news) but does not clarify what it does with them, when to call it, or what the output represents. The name 'combine_successful' is vague, does it merge, aggregate, validate, or transform?
No pagination, limits, or result size constraints documented. If fetch_news or fetch_weather return large result sets, there is no guidance on max results, pagination tokens, or how to request subsequent pages. This risks context window exhaustion.
Tool naming convention violated for 'fail_method' and dummy tools. Names like 'fail_method' and 'get_age' are poorly aligned with agentic conventions. 'fail_method' is not action-oriented and suggests internal plumbing rather than a user-facing capability. Dummy tools (get_name, get_age) are unclear in purpose.