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Perplexity MCP

Perplexity MCP

by balakumardev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

get_thread

Retrieve the full details and messages of a Perplexity thread by providing its slug identifier.

Instructions

Get details of a specific thread by its slug.

Args: slug: The thread slug (identifier from thread URL or list_threads)

Returns: Dictionary containing thread details including all messages

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>"
    },
    "name": "get_thread"
  }
}

Input Schema

NameRequiredDescriptionDefault
slugYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A4/5.0
Behavior3/5

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 indicates the tool is a read operation (get) and returns thread details with messages, but does not explicitly state idempotency, side effects, or authentication requirements.

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 concise: a single introductory line followed by clearly separated Args and Returns sections. Every sentence adds value with no redundancy.

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?

The tool is simple with one parameter. The description explains the return value as a dictionary with thread details and messages. It covers the essentials, though it could mention error handling (e.g., if slug not found).

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

Parameters4/5

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

The schema has 0% description coverage, but the tool description explains the slug parameter's origin ('identifier from thread URL or list_threads'), adding meaning beyond the schema's bare type and title.

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 action (Get), the resource (details of a specific thread), and the identifier (slug). It distinguishes itself from sibling tools like list_threads (which lists threads) and search (which searches).

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

Usage Guidelines3/5

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

The description implies that this tool is used when a slug is known, but it does not explicitly provide when-to-use or when-not-to-use guidance, nor does it mention alternative tools like list_threads or search for different use cases.

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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