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balakumardev

Perplexity MCP

by balakumardev

list_threads

List and search Perplexity AI conversation threads. Adjust the number of threads returned and filter by search term to find specific discussions.

Instructions

List conversation threads from Perplexity AI.

Args: limit: Maximum number of threads to return (default 10) search_term: Optional search term to filter threads

Returns: Dictionary containing list of threads with their metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
search_termNo
Behavior2/5

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

No annotations are provided, and the description lacks behavioral details like pagination, rate limits, or side effects. The agent gains no insight beyond the basic listing operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured into clear Args/Returns sections and is reasonably concise. It could be more succinct by integrating the sections into a flowing sentence, but overall it is easy to scan.

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

Completeness3/5

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

For a simple list operation with two optional parameters, the description covers the core purpose. However, it lacks details on pagination behavior, response format specifics (despite mentioning metadata), and differentiation from get_thread, making it minimally adequate.

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 0%, but the description adds minimal semantics: limit is described as 'Maximum number of threads' and search_term as 'Optional search term'. This partially compensates for missing schema descriptions but does not explain formats or constraints.

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?

Description clearly states 'List conversation threads from Perplexity AI,' specifying the verb 'list' and resource 'threads'. However, it does not differentiate from sibling tools like get_thread or search, which could 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 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 such as get_thread (single thread) or search. The agent receives no context on appropriate use cases or exclusions.

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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