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Hanato238

Perplexity API MCP Server

by Hanato238

Search the Web

perplexity_search
Read-only

Search the web to find specific URLs, check recent news, verify facts, and discover sources. Returns a ranked list of results with titles, URLs, snippets, and dates.

Instructions

Search the web and return a ranked list of results with titles, URLs, snippets, and dates. Best for: finding specific URLs, checking recent news, verifying facts, discovering sources. Returns formatted results (title, URL, snippet, date) — no AI synthesis. For AI-generated answers with citations, use perplexity_ask instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query string
max_resultsNoMaximum number of results to return (1-20, default: 10)
max_tokens_per_pageNoMaximum tokens to extract per webpage (default: 1024)
countryNoISO 3166-1 alpha-2 country code for regional results (e.g., 'US', 'GB')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYesFormatted search results, each with title, URL, snippet, and date
Behavior5/5

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

Annotations already declare readOnlyHint true and destructiveHint false. The description adds that the tool does no AI synthesis and returns formatted results, which is consistent and helpful beyond the annotations.

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 with two sentences and a bullet-like phrase. It is front-loaded and every sentence adds value.

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

Completeness5/5

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

Given the tool's simplicity (1 required param, 4 total) and the presence of annotations and output schema, the description is complete enough to guide correct use.

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%, so the description adds little beyond the schema. It does not elaborate on parameter meanings, but the schema already provides adequate descriptions. A 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?

The description clearly states the verb 'search', the resource 'the web', and the output format. It distinguishes itself from the sibling tool perplexity_ask by noting that this tool returns formatted results without AI synthesis.

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

Usage Guidelines5/5

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

The description explicitly lists best use cases (finding URLs, checking news, verifying facts) and provides an alternative for AI-generated answers with citations (perplexity_ask).

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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