Loading ToolBench
Une plateforme avancée pour la création et la gestion d'agents intelligents. Advanced platform for creating and managing intelligent agents with MCP tools integration.
AgenticForge exposes 9 tools with mostly complete schemas and descriptions, but exhibits several critical quality gaps that prevent a higher score. All tools have descriptions (base requirement met), but many descriptions lack actionable detail for LLM selection. Parameter naming is inconsistent, some tools use verb_noun conventions (claude_analysis, ai_summarize) while others use domain-specific names (alpha_intelligence, core_stock_apis) that obscure intent. Schemas are present for all tools and well-structured with proper JSON Schema types, enums, and constraints, but lack critical metadata like output schema documentation and error recovery guidance. Security concern: apikey parameters are exposed in tool definitions despite docs stating they are 'automatically loaded from .env', this is a pattern violation. No tools declare permissions, support dry-run/confirmation, or provide structured error handling guidance. The tool composition is reasonable (each tool does one coherent thing), but many parameters have circular dependencies and incomplete constraint documentation.
Summarizes a given text.
Comprehensive Alpha Intelligence APIs including market news, sentiment analysis, company overviews, earnings transcripts, insider transactions, top gainers/losers, and advanced analytics. Provides extensive market intelligence and analytical tools.
Perform Claude Code-level deep analysis of code, systems, or problems
Returns comprehensive company information, financial ratios, and key metrics for the specified security
Comprehensive core stock market data APIs including time series (intraday, daily, weekly, monthly), quotes, bulk quotes, symbol search, and market status. Supports both raw and adjusted data with flexible output formats.
Returns daily time series data for digital/crypto currencies, including open, high, low, close, and volume information in both the market currency and USD
Tool names lack consistent verb-noun convention. 'claude_analysis', 'ai_summarize' use verb forms, but 'alpha_intelligence', 'core_stock_apis', 'economic_indicators' use noun-only or domain-jargon names. This forces LLMs to reason about function instead of reading intent from the name.
Exposed apikey parameter in all Alpha Vantage tools (alpha_intelligence, wti, company_overview, core_stock_apis, digital_currency_daily, economic_indicators, finance). Schema shows apikey as optional string parameter, but security best practice (and MCP pattern:secret-injection) mandates server-side injection only. Credentials in tool parameters leak into agent traces and prompt history.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | F | 45 | <=2025-11-25 | v2 |
| 2026-03-09 | F | 40 | - | v1 |
Comprehensive economic indicators including inflation, GDP, treasury yields, federal funds rate, CPI, retail sales, durables, unemployment, and nonfarm payroll. Provides extensive macroeconomic data for comprehensive market analysis.
Comprehensive financial data tool - get quotes, company info, historical data, and technical analysis
Returns West Texas Intermediate (WTI) crude oil prices. WTI is a major oil benchmark for North American crude oil prices
No output schema documentation for any tool. Per pattern:tool and baselines (100% of A+ tools have documented return types), LLMs cannot plan downstream actions or extract required fields without knowing what the response contains. This prevents proper tool chaining.
Minimal error handling guidance. No tool descriptions indicate what to do on failure (retry, user action, lookup alternative). Per pattern:recovery-guide, error responses should tell LLMs the next step. This forces agents to guess or fail silently.
Descriptions lack actionable context for tool selection. 'Summarizes a given text' (ai_summarize) and 'Returns West Texas Intermediate crude oil prices' (wti) are factual but do not explain WHEN to call them vs alternatives or what prerequisites apply. Per pattern:tool-description baseline (194 chars avg, 10-1024 range), several descriptions are too brief (under 60 chars).
No permission declarations or scope requirements stated. Per pattern:scope-declaration, tools should declare what permissions they require (read-only vs write). This prevents least-privilege agent configs and clear audit trails.
Parameter dependencies undocumented. alpha_intelligence requires 'symbol' for some functions but 'tickers' for others; core_stock_apis has function-dependent parameter requirements (e.g., interval required only for TIME_SERIES_INTRADAY). Per pattern review guidance, undocumented dependencies cause silent misuse.
Result limits not enforced or documented. core_stock_apis supports 'compact' or 'full' outputsize, but no cap is stated on 'full' results. Per mxe:enforce-result-limits, results should cap at 20-50 items to prevent context window exhaustion. LLM reasoning degrades as result sets grow.
No pagination or cursor support documented. Tools returning lists (REALTIME_BULK_QUOTES, NEWS_SENTIMENT, etc.) accept 'limit' but no 'page', 'offset', or 'cursor' parameter for continuation. Per pattern:paginated-result, large results without pagination risk context exhaustion.