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guptabhishek

Multi-Search MCP Server

by guptabhishek

search

Perform web searches across multiple providers (Google, Tavily, DuckDuckGo, Brave) to retrieve comprehensive results for AI workflows and research tasks.

Instructions

Performs a web search using multiple providers (google, tavily, duckduckgo, brave).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe search query.
providerNoOptional: Specify a provider directly (google, tavily, duckduckgo, brave). If omitted, uses priority fallback.
num_resultsNoNumber of results desired (default: 10).
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions 'multiple providers' and 'priority fallback' (implied from schema), but doesn't disclose key behavioral traits like rate limits, authentication needs, response format, error handling, or what 'performs' actually returns. For a search tool with no annotation coverage, this leaves significant gaps.

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 extremely concise—a single sentence that efficiently conveys the core functionality. It's front-loaded with the main purpose and includes essential details about providers without unnecessary elaboration. Every word earns its place.

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?

Given no annotations and no output schema, the description is incomplete for a search tool. It doesn't explain what the tool returns (e.g., links, snippets, structured data), how results are formatted, or any limitations. For a 3-parameter tool with behavioral complexity, this leaves too much unspecified.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond what's in the schema—it doesn't explain parameter interactions, provider differences, or search behavior. Baseline 3 is appropriate when the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Performs a web search using multiple providers'. It specifies the verb ('performs a web search') and resource ('web search'), though it doesn't distinguish from siblings since there are none. The mention of providers adds specificity, but could be more precise about what 'performs' entails.

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

Usage Guidelines2/5

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 alternatives. It mentions multiple providers but doesn't explain when to choose one over another or when to use this tool over other search methods. With no sibling tools, this is less critical, but still lacks context for optimal usage.

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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