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Search Flows

search_flows
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Search Mobbin for multi-step user flows (e.g. onboarding, checkout) using natural language. Returns evenly-spaced preview images inline along with metadata for each flow, including per-screen previews. Examine the returned images to understand each flow's actual content — do not describe screens based solely on metadata. Inline images are low-res previews for you to read, not for the user. Each result's image_url is the high-resolution image. Whenever the user wants to save, export, embed, or paste a result (files, Figma, Notion, docs, slides), download it from image_url instead of reusing the inline preview. Image URLs expire after 30 days, so download the file rather than linking to it; link to mobbin_url when citing. On hosts that support MCP Apps, also renders an interactive gallery of the results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for paginating through results. Maximum 20.
limitNoMaximum number of flows to return. Lower limits are recommended to manage context size.
queryYesDescribe one user journey in plain language, starting with what kind of journey it is ("onboarding", "password reset"). Add a step or detail only when the user asked for it or their problem depends on it: each one narrows the results. Good: "onboarding", "checkout with payment method selection". Avoid: combining multiple flows (search separately), steps the user didn't ask for ("onboarding with goal selection and reminder setup"), vague style words, disconnected keyword lists. Name a specific app to filter results to it (e.g. "Duolingo onboarding"). Do not include platform (ios/web) — use the dedicated parameter.
platformYesPlatform to search.
output_toolNoThe product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.
task_intentNoOne short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.
image_formatNoImage format. Use jpg if your client does not support webp.webp
output_destinationNoWhat you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageYes1-based page number of search results.
flowsYes
queryYesThe natural language query used for this search.
has_next_pageYesWhether more pages of results are available.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / query / description
      Previous value: -"Describe one user journey in plain language — the steps and what you'd see along the way. Be specific; detail helps. Good: \"onboarding with personalization steps\", \"checkout with payment method selection\". Avoid: combining multiple flows (search separately), negations, vague style words, disconnected keyword lists. Name a specific app to filter results to it (e.g. \"Duolingo onboarding\"). Do not include platform (ios/web) — use the dedicated parameter."New value: +"Describe one user journey in plain language, starting with what kind of journey it is (\"onboarding\", \"password reset\"). Add a step or detail only when the user asked for it or their problem depends on it: each one narrows the results. Good: \"onboarding\", \"checkout with payment method selection\". Avoid: combining multiple flows (search separately), steps the user didn't ask for (\"onboarding with goal selection and reminder setup\"), vague style words, disconnected keyword lists. Name a specific app to filter results to it (e.g. \"Duolingo onboarding\"). Do not include platform (ios/web) — use the dedicated parameter."
  2. Changed2 schema fields changed
    • changedInput schema / properties / output_destination / description
      Previous value: -"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."New value: +"What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, also when looking up examples to base it on first, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task."
    • changedInput schema / properties / output_tool / description
      Previous value: -"The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."New value: +"The product the results go into next, not a later step, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task."
  3. Changed2 schema fields changed
    • addedInput schema / properties / output_destination
      Added value: +{
      +  "description": "What you will do with the results after this call. Choose by what gets made with the results, not by the search itself. When the request does not say, go by where you are running: a coding agent in a repository means `code`, a design tool means `design_tool`, a plain chat host means `chat`. Helps return results in the form the workflow needs. `code`: implement or change UI in a codebase or coded prototype, e.g. React, Swift, HTML/CSS, v0, Lovable. `design_tool`: recreate or put results on a design canvas, e.g. Figma, Paper, Pen.dev, MagicPath. `doc`: write a report, PRD, spec, audit or slides, e.g. in Notion, Google Docs or Slides. `reference_library`: only when saving is the ask: the user wants the results kept for later in a folder, notes or a Mobbin collection. Looking things up to build, design or write from is NOT this. `chat`: only answer in the conversation; the user has not asked you to build, design, write or save anything. `other`: an unlisted destination, none of the above, e.g. posting the results to Slack or email. MUST be the same across all calls for the same task.",
      +  "enum": [
      +    "code",
      +    "design_tool",
      +    "doc",
      +    "reference_library",
      +    "chat",
      +    "other"
      +  ],
      +  "type": "string"
      +}
    • addedInput schema / properties / output_tool
      Added value: +{
      +  "description": "The product the results go into next, if known, e.g. Figma, Paper, Notion. Product name only. When the results go into more than one product, name the one the user asked for first. Not the search source: Mobbin only when the results go back to Mobbin. Omit when unknown. MUST be the same across all calls for the same task.",
      +  "type": "string"
      +}
  4. Changed1 schema field changed
    • changedOutput schema / properties / flows / items / properties / screens / items / properties / image_url / description
      Previous value: -"Image URL for the screen. Expires after 30 days."New value: +"High-resolution image URL (up to 1920px wide). Download from it whenever the user wants to save, export, embed, or paste the image. Expires after 30 days."
  5. Changed1 schema field changed
    • changedInput schema / properties / task_intent / description
      Previous value: -"One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."New value: +"One short sentence summarizing the user's overall task. Helps return more relevant results. Write it in English even when the conversation is in another language. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data."
  6. Changed1 schema field changed
    • addedInput schema / properties / task_intent
      Added value: +{
      +  "description": "One short sentence summarizing the user's overall task. Helps return more relevant results. MUST be the same across all calls for the same task. Do NOT include verbatim user messages, conversation history, file contents, or personal data.",
      +  "type": "string"
      +}
  7. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Goes well beyond the readOnly/non-destructive annotations: discloses that inline images are low-res previews, that image_url is the high-res asset, that URLs expire after 30 days so files must be downloaded rather than linked, and that an interactive gallery renders on MCP Apps hosts. This is exactly the operational context an agent needs.

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?

Long but dense and front-loaded: purpose first, then result/image handling, then the host-rendering note. Nearly every sentence carries actionable guidance, though the image-handling instructions are verbose enough that a tighter phrasing could preserve the same content.

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?

With an output schema present, return values need no explanation, and the description nonetheless covers the parts an agent could get wrong — preview vs high-res, URL expiry, and host rendering. Complete for an 8-parameter search tool.

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 description coverage is 100%, so the schema already carries the parameter semantics and the baseline is 3. The description hints at image_url/mobbin_url usage and query phrasing but adds no new meaning at the parameter level.

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?

States a specific verb and resource ('Search Mobbin for multi-step user flows') with concrete examples (onboarding, checkout). The distinction from siblings is clear by resource type — flows are multi-step journeys, versus the screens and sections tools.

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?

Gives clear context on how results should be consumed (read inline previews, download from image_url, link to mobbin_url) and on the query-construction conventions. It never explicitly names search_screens/search_sections as alternatives or states the condition that selects them, so the when-not guidance is absent.

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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