Perplexity Advanced MCP
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
Only one tool exists, so there is no possibility of confusion with other tools. The tool's purpose is clearly defined.
Naming Consistency5/5With a single tool, naming consistency is trivially satisfied. The name 'ask_perplexity' follows a clear verb_noun pattern in snake_case.
Tool Count3/5A single tool is borderline for a server claiming to offer a 'toolkit'. However, the tool is versatile and handles both simple and complex queries, justifying its singular existence.
Completeness5/5The domain is to answer user queries by searching the internet. The single tool covers all necessary functionality (simple and complex queries) without obvious gaps.
Average 4.6/5 across 1 of 1 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- Last stable release on
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
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How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description carries full burden. It explains that Perplexity is an LLM that searches, opens results, finds info, and answers. Details query types and file attachment behavior. Lacks mention of potential inaccuracies or response format, but overall sufficiently transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
Description is lengthy but well-structured with sections, examples, and bullet points. Front-loaded with core purpose. Could be slightly more concise, but each section serves a purpose in guiding usage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers main use cases, query types, file attachments, language requirement, and prompt engineering. No output schema, but output is implied to be an answer. Adequate for an LLM-based search tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, but description adds significant value: explains the 'simple' vs 'complex' enum with cost/speed implications, and clarifies that 'attachment_paths' must be absolute paths. Provides context for 'query' via examples.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states that Perplexity searches the internet and answers queries, with explicit differentiation between simple and complex queries. The verb 'ask' and resource 'perplexity' are well-defined, and no sibling tools exist to cause confusion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance on when to use simple vs complex queries, including cost and speed trade-offs. Includes instructions to use the tool for uncertain queries and emphasizes English-only queries. Offers prompt engineering tips and absolute path requirements for attachments.
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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- Evaluate tool definition quality.
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