HubLens MCP Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. It effectively describes the core behavior (returns ranked trending projects with specific data fields) and implies read-only operation through 'Get', but doesn't address important aspects like rate limits, authentication requirements, data freshness, or error conditions. It provides basic functional context but lacks operational details.

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

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

The description is perfectly concise - a single sentence that efficiently communicates the tool's purpose and return value. Every word earns its place, with no redundant information. It's front-loaded with the core functionality and follows with useful details about the response format.

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

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

For a read-only tool with 3 optional parameters and no output schema, the description provides adequate functional context but lacks operational details. It explains what the tool does and what data it returns, but doesn't address authentication, rate limits, error handling, or data freshness. Given the absence of annotations and output schema, a more complete description would help the agent understand operational constraints.

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

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

Schema description coverage is 100%, so the schema already fully documents all three parameters (limit, category, source). The description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in description.

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

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

The description clearly states the specific action ('Get today's trending open-source projects'), identifies the resource ('from HubLens'), and distinguishes from siblings by focusing on trending projects rather than articles or general search. It provides concrete details about what's returned (ranked projects with scores, stars, categories, AI-generated summaries).

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

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

The description provides no guidance on when to use this tool versus the sibling tools (hublens_article, hublens_search). It doesn't mention alternatives, prerequisites, or specific contexts where this tool is preferred over others. The user must infer usage from the tool name and description alone.

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