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wynandw87

Perplexity MCP Server

by wynandw87

deep_research

Conduct exhaustive research on any topic, synthesizing information from multiple sources for comprehensive analysis and literature reviews.

Instructions

Conduct deep, exhaustive research on a topic using Perplexity's sonar-deep-research model. Best for comprehensive analysis, literature reviews, and multi-source synthesis. May take longer. Trigger: 'perplexity research', 'perplexity deep research', or 'deep research with perplexity'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe research question or topic to investigate deeply
Behavior3/5

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

No annotations provided, so description must carry behavioral disclosure. It notes 'May take longer,' which is useful, but does not mention other traits like read-only nature, response format, or potential limits. Adequate but minimal.

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?

Description is two sentences plus trigger phrase, immediately stating the core function. Every sentence adds value with no redundancy or filler.

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?

With one parameter, no output schema, and no annotations, the description covers purpose, model, use cases, triggers, and latency. Could mention result format but not essential. Reasonably complete for the tool's complexity.

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 coverage is 100% with clear parameter description for 'query.' Description adds no extra parameter details; it repeats the tool's purpose. With full schema coverage, baseline score of 3 is appropriate.

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 the tool conducts 'deep, exhaustive research' using a specific model, and specifies use cases like 'comprehensive analysis, literature reviews, and multi-source synthesis.' It distinguishes from sibling tools by emphasizing depth and exhaustive nature.

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?

Description provides explicit usage context: 'Best for comprehensive analysis...' and trigger phrases, but does not explicitly state when not to use or mention alternatives. Slightly incomplete but sufficient for basic guidance.

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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