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get_pipeline_details

Read-onlyIdempotent

Full pipeline: title, goal, all steps with tools, instructions, prompts, pricing.

Args:
    slug: Pipeline slug (from search_pipelines).
    lang: "en" or "ru" (default "en").

Returns:
    Dict with title, goal, steps (each: step number, title, tool_name, tool_type,
    instruction, prompt_example, pricing, category, tool_url), step_count, page_url.

Use this to give the user a complete actionable plan with copy-paste prompts.

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_pipeline_details"
  }
}

Input Schema

NameRequiredDescriptionDefault
langNoOutput language: "en" for English or "ru" for Russian. Default: "en".en
slugYesPipeline slug - take it from the `slug` field of search_pipelines results.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds value by detailing the shape of the payload (step_count, page_url, per-step fields such as prompt_example and tool_url), which tells the agent how much content to expect. Auth, rate limits, and truncation behavior remain undisclosed.

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 lead sentence is front-loaded and states the payload contents first, followed by Args, Returns, and a usage line, which reads well. The Args block is redundant with a fully described schema and costs space without adding information.

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?

There is no output schema, and the description compensates fully by listing the return keys and nested step fields the agent will need in order to present a plan. Combined with the usage line and parameter notes, an agent has everything required to invoke and consume the result.

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 both parameters are already documented, including the lang default and the slug's origin in search_pipelines results. The Args section largely restates the schema rather than adding meaning such as slug format examples or fallback behavior when a slug is unknown. Baseline 3 is appropriate.

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?

The description enumerates exactly what is returned for a pipeline (title, goal, all steps with tools, instructions, prompts, pricing), which makes the resource and scope unmistakable. It is distinguishable from search_pipelines because it demands a slug obtained from that search, though the contrast is implied rather than stated outright.

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?

"Use this to give the user a complete actionable plan with copy-paste prompts" gives a clear use condition, and the slug note ties it to a prior search_pipelines call. There is no explicit when-not guidance (e.g., don't call this for listing or comparing pipelines), which keeps it short of a 5.

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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