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copus-io

Copus MCP Server

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search_curations

Search for trusted tools, articles, and resources recommended by domain experts, with explanations of their value.

Instructions

Search human-curated content recommendations on Copus. Unlike regular search engines, these are recommendations from real people who explain why the content is valuable. Great for finding trusted tools, articles, and resources vetted by domain experts.

Examples:

  • "python learning resources" - Find recommended Python tutorials and courses

  • "wireframing tools" - Discover designer-recommended wireframing software

  • "creative writing" - Get curated articles and resources on writing

  • "AI tools" - Find AI tools recommended by practitioners

  • "productivity apps" - Discover productivity tools people actually use

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (default: 10, max: 50)
queryYesSearch keywords (e.g., 'python tutorials', 'design tools', 'AI resources')
Behavior3/5

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

With no annotations, the description covers the read-only search behavior and the nature of results (human-curated with explanations). However, it lacks details on pagination, rate limits, or what happens with empty queries.

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?

The description is concise, front-loaded with purpose, and uses a clear structure of definition, differentiation, and examples. Every sentence adds value.

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

Completeness4/5

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

Given no output schema and no annotations, the description provides sufficient context for a search tool. It covers purpose, usage guidance, and examples. Minor omissions like pagination limits completeness slightly.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value through concrete query examples that illustrate usage, which goes beyond the schema's basic parameter descriptions.

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 clearly states the tool searches human-curated content recommendations, differentiating it from regular search engines. It uses specific verbs and resources, and the distinction from sibling tool 'get_curation' is implicit.

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?

The description provides clear context by contrasting with regular searches and giving multiple examples. However, it does not explicitly state when not to use the tool or mention the sibling as an alternative for single curations.

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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