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HappyMonkeyAI

article-research-mcp

search_articles

Search multiple article sources (dev.to, Hacker News, RSS) and receive deduplicated summaries with optional LLM scoring for agent planning.

Instructions

Search article sources (default: devto + hn). Returns unified summaries. Set score_with_llm=true when OPENAI_COMPAT_BASE_URL is configured (e.g. Ollama).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
sourcesNo
limitNo
tagNo
top_daysNo
score_with_llmNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must disclose behavior. 'Returns unified summaries' is vague; no mention of external API calls, rate limits, or side effects. Insufficient transparency.

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?

Extremely concise: two sentences, front-loaded with purpose. No unnecessary words.

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?

Despite presence of output schema, description fails to explain output format, pagination, or error behavior. For a search tool with 6 parameters, this is incomplete.

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

Parameters2/5

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

Schema description coverage is 0%. Description adds meaning for sources default and score_with_llm condition, but other parameters (limit, tag, top_days) remain undocumented. Inadequate compensation.

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?

Description clearly states verb 'Search', resource 'article sources', and default sources (devto + hn). Differentiates from siblings like get_article and list_article_sources.

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?

Provides explicit condition for setting score_with_llm parameter based on configuration. Lacks guidance on when to use alternatives, but the condition is specific and helpful.

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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