visual-hunt-mcp
visual-hunt-mcp
visual-hunt-mcp ist ein lokaler TypeScript-MCP-Server für macOS, der sich über CDP mit Ihrer bestehenden Chrome-Sitzung verbindet und Codex / Claude dabei hilft, visuell starke Bildkandidaten für Poster, Hintergrundbilder und Inspirationsboards zu finden.
v0.4.0 · 11 Tools · durchgehend geprüft · 15/15 Verhaltenstests bestanden · 108 Bilder in einem realen Stresstest mit 10 Themen heruntergeladen · wird mit Evaluierungssuite und vollständigem Test-Harness geliefert.
Er ist darauf ausgelegt:
das offizielle
@modelcontextprotocol/sdkmitMcpServerundregisterToolzu verwendensich über
chromium.connectOverCDP(...)mit einer lokalen Chrome-Instanz zu verbindenIhr lokales, angemeldetes Browserprofil wiederzuverwenden, wenn Sie sich für eine manuell unterstützte Überprüfung entscheiden
Paywalls, Login-Wände, CAPTCHAs oder Plattform-Kontrollen nicht zu umgehen
Kandidaten-Metadaten zurückzugeben und optional Bilddateien in einen Projektordner herunterzuladen, der im aktuellen Arbeitsverzeichnis des MCP-Servers erstellt wird
Warum CDP
Dieses Projekt verwendet das Chrome DevTools Protocol, anstatt einen neuen Automatisierungsbrowser zu starten, damit der MCP-Server ein lokales Chrome-Profil wiederverwenden kann, das Sie kontrollieren. Das macht Workflows für Instagram und Xiaohongshu praktischer, da die Browsersitzung bereits angemeldet sein kann, während der MCP-Server weiterhin lokal auf Ihrem Mac bleibt.
Related MCP server: unsplash-mcp
Warum Instagram / Xiaohongshu manuell unterstützt werden
Instagram und Xiaohongshu erfordern oft eine Anmeldung, können das Layout häufig ändern und Inhalte hinter Plattform-Kontrollen verbergen. Dieser MCP öffnet diese Seiten bewusst in Ihrem verbundenen lokalen Chrome und extrahiert nur sichtbare öffentliche Bildkandidaten, sofern verfügbar. Er versucht nicht, Anmeldungen, Ratenbegrenzungen oder Zugriffsbeschränkungen zu umgehen.
Download-Umfang
Dieses Projekt kann jetzt Bilddateien für Quellen wie Unsplash, Pexels, Pixabay, Hintergrundbild-Websites und sichtbare Bild-URLs herunterladen, die bei manuellem, unterstütztem Social Browsing auftauchen, wenn Ihre verbundene Chrome-Sitzung Zugriff hat. Einige Leitplanken gelten weiterhin:
Von Google gehostete Vorschauen und Google Maps-Bilder bleiben blockiert
Instagram und Xiaohongshu hängen weiterhin von Ihrem verbundenen Chrome-Anmeldestatus und den tatsächlich sichtbaren Bild-URLs ab, die die Seite preisgibt
Sie sind weiterhin dafür verantwortlich, die Lizenzierung vor der Wiederverwendung zu prüfen
save_candidates_jsonbleibt rein metadatenbasiert, währenddownload_candidate_imagesBilddateien sowie ein Download-Manifest schreibt
Funktionen
MCP-Tools (11)
Tool | Zuverlässigkeit | Hinweise |
| ★★★★★ | Flaggschiff. Kuratiertes Set aus 6 Quellen (Unsplash, Pexels, Pixabay, Wikimedia, Wallhaven, Alpha Coders). 100% Themenabdeckung in Stresstests. |
| ★★★★★ | Flaggschiff für Reise-/Designthemen. 100% Themenabdeckung. |
| ★★★ | Manuell unterstützt. Die meisten Bilder sind aus Designgründen korrekt vom Download blockiert – zur visuellen Inspiration verwenden. |
| ★★ | Manuell unterstützt. Pinterest zeigt bei den meisten Suchen ein Login-Modal; melden Sie sich über Chrome an und rufen Sie dann |
| ★★ | Manuell unterstützt. Gleiches Login-Wand-Muster wie bei Pinterest. |
| ★★ | Inkonsistent aufgrund von Googles lazy-geladenem |
| ★★★★ | Generischer Extraktor. Funktioniert auf Wikipedia, Blogs, Markenseiten. |
| ★★★★★ | Erneute Extraktion nach manuellem Scrollen/Login auf einer gehaltenen Seite. |
| ★★★★★ | Bereinigung. Idempotent. |
| ★★★★★ | Nur-Metadaten-Persistenz. |
| ★★★★★ | Download mit Referer + User-Agent aus dem verbundenen Chrome. Von Google gehostete Vorschauen sind aus Designgründen blockiert. |
Standard-Quellenset (v0.4.0 kuratiert)
Die Standard-Quellenliste für search_wallpaper_sites wurde in v0.4.0 von 13 auf die 6 Quellen reduziert, die bei >80% der Themen in realen Stresstests herunterladbare Kandidaten lieferten:
Unsplash — moderne redaktionelle Fotografie
Pexels — moderne redaktionelle Fotografie
Pixabay — moderne redaktionelle Fotografie
Wikimedia Commons — Sehenswürdigkeiten, Architektur, Public Domain
Wallhaven — Top kostenlose 4K/8K-Hintergrundbilder
Alpha Coders / Wallpaper Abyss — Top kostenlose 4K/8K-Hintergrundbilder
Adapter für die entfernten Quellen werden weiterhin mitgeliefert – übergeben Sie diese explizit, wenn Sie sie benötigen: sites: ["openverse.org", "loc.gov", "images.nasa.gov", "rawpixel.com", "publicdomainpictures.net", "wallpaperscraft.com", "hdqwalls.com"].
Kandidaten-Bewertung
Jeder Kandidat erhält einen leichten scoreHint basierend auf:
Bildgröße
Nähe des Seitenverhältnisses zu gängigen Poster-/Hintergrundbild-Verhältnissen
Titel- oder Alt-Text-Schlüsselwörter wie
poster,cinematic,wallpaper,4k,8k,travel,filmundlandscape
Installation
cd /Users/lanston/Desktop/Codex/visual-hunt-mcp
npm installChrome für MCP starten
npm run chrome:debugDieser Helfer bindet das Chrome-Remote-Debugging nur an 127.0.0.1. Er legt den CDP-Port nicht öffentlich offen.
Wenn Sie das Rohskript bevorzugen:
chmod +x scripts/start-chrome-mcp.sh
./scripts/start-chrome-mcp.shValidierungs-Workflow
Führen Sie den deterministischen MCP-Rauchtest aus, nachdem Chrome gestartet wurde:
npm run smokeFür einen umfassenden Verhaltens-Sweep, der alle 11 Tools abdeckt (Schema-Zwang, Abfrageoptimierung, Lebenszyklus der manuellen Seite, Unterdrückung der Login-Wand, Filter für falsch-positive Ergebnisse, Sicherheitswächter):
node scripts/full-test.mjs # 15 cases including live Chrome paths
node scripts/full-test.mjs --skip-live # 10 cases, fast, no browser depsWas npm run smoke validiert:
der lokale MCP-Server startet über stdio aus der aktuellen
dist/-Ausgabetools/listlegt das erwartete Tool-Set offenopen_url_and_extract_imageskann sichtbare Kandidaten aus einer lokalen Fixture-Seite extrahierenextract_manual_page_candidatesundclose_manual_pagewerden für manuell unterstützte Follow-up-Flows offengelegtsave_candidates_jsonschreibt Kandidaten-Metadaten in ein temporäres Ausgabe-Rootdownload_candidate_imageslädt ein erlaubtes lokales Bild herunter und überspringt einen blockierten, von Google gehosteten Kandidaten mit einem klaren Grund
Der Rauchtest verwendet ein temporäres VISUAL_HUNT_OUTPUT_ROOT und bereinigt es bei Erfolg. Um die Artefakte zur Überprüfung zu behalten:
npm run smoke -- --keep-outputFür einen Durchlauf mit höherer Konfidenz, der auch Live-Google-Bilder und Hintergrundbild-Suchabläufe über Ihre verbundene Chrome-Sitzung abdeckt:
npm run smoke:liveVerwenden Sie npm run validate als stabilen Standard-Validierungsbefehl. Er führt jetzt zuerst npm run build und dann den deterministischen Rauchtest aus.
MCP lokal ausführen
npm run devFür den produktionsnahen Einsatz:
npm run build
node dist/index.jsClaude Desktop-Konfiguration
{
"mcpServers": {
"visual-hunt": {
"command": "node",
"args": [
"/Users/lanston/Desktop/Codex/visual-hunt-mcp/dist/index.js"
],
"env": {
"CHROME_CDP_ENDPOINT": "http://127.0.0.1:9222"
}
}
}
}Beispiel-Prompts
Use visual-hunt to search_google_images for "cinematic Oahu Hawaii sunset travel poster 8k", limit 10.Use visual-hunt to search_wallpaper_sites for "dark luxury black gold abstract 8k wallpaper", limit 15.Use visual-hunt to open_xiaohongshu_visual_search for "夏威夷 绝美 海报 壁纸 旅行 摄影", limit 10.Use visual-hunt to download_candidate_images for project "oahu-poster-board" using the candidates from the last search, limit 5.Use visual-hunt to extract_manual_page_candidates for the manualPageId from the Xiaohongshu search after I log in or scroll more.Hinweise
Protokolle werden nur in
stderrgeschrieben, damit MCP JSON-RPC aufstdoutsauber bleibt.Chrome muss bereits mit aktiviertem Remote-Debugging laufen.
Ausgabeordner werden standardmäßig unter dem aktuellen Arbeitsverzeichnis des MCP-Servers erstellt. Beispiel:
/path/to/visual-hunt-mcp/<project>/images.Überschreiben Sie das Ausgabe-Root mit
VISUAL_HUNT_OUTPUT_ROOT, wenn Sie Downloads woanders speichern möchten.save_candidates_jsonschreibt Metadaten nach<output-root>/<project>/candidates.json.download_candidate_imagesschreibt Bilddateien nach<output-root>/<project>/imagesund ein Manifest nach<output-root>/<project>/downloads.json.scripts/smoke-test.mjsist der schnellste Weg, den MCP-Vertrag von Ende zu Ende gegen einen lokalen Serverprozess zu validieren.scripts/smoke-test.mjsvalidiert den lokalen Server durch die aktuelledist/-Ausgabe und verwendet ein temporäres Ausgabe-Root für Artefakte.Der Server speichert keine Anmeldedaten.
Der Server führt keine beliebigen Shell-Befehle aus.
Umgebungsvariablen
Var | Standard | Effekt |
|
| Chrome Remote-Debugging-Endpunkt |
|
| Stammverzeichnis für heruntergeladene Bilder und Manifeste |
|
| Timeout pro Seitennavigation/-extraktion |
|
| TTL für Einträge in der manuellen Seitenregistrierung; |
|
| Hartes Limit für die Größe der manuellen Seitenregistrierung; älteste werden zuerst entfernt |
| nicht gesetzt | Auf |
Manuelle Überprüfungen über den Rauchtest hinaus
Wenn Sie die Live-/manuell unterstützten Teile des Produkts einer Plausibilitätsprüfung unterziehen möchten, sind dies die wertvollsten Follow-ups nach npm run smoke:
npm run smoke:liveopen_instagram_visual_searchmit demselben Chrome-Profil, das Sie täglich verwenden möchtenopen_xiaohongshu_visual_searchmit demselben Profil, falls eine Anmeldung erforderlich istopen_google_maps_visual_search, um zu bestätigen, dass der Hinweis zur manuellen Überprüfung und das Verhalten ohne Umgehung weiterhin korrekt aussehen
Genaue Mac-Befehle
cd /Users/lanston/Desktop/Codex/visual-hunt-mcp
npm install
npm run chrome:debug
npm run smoke
npm run smoke:liveAvailable Tools
11 toolsclose_manual_pageClose Manual PageADestructiveIdempotent
Close a previously opened manual-assisted page and remove it from the in-memory registry. Returns {closed:false} if the manualPageId was unknown (already closed or expired); not an error.
| Name | Required | Description | Default |
|---|---|---|---|
| manualPageId | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Description adds that it removes from registry and returns {closed:false} for unknown ID, going beyond annotations (destructiveHint, idempotentHint). No contradiction.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences, front-loaded with action and resource, no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers main action and edge case, but could describe what manualPageId represents. However, tool complexity is low, and overall is fairly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, but description adds no information about the parameter manualPageId beyond its name. Fails to compensate for the gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Clearly states verb 'close' and resource 'manual-assisted page', distinguishing it from sibling open tools. No ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Implies use after opening, but lacks explicit when-to-use or when-not-to-use. Doesn't reference any alternative close tools (none exist).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
download_candidate_imagesDownload Candidate ImagesA
Download candidate images into a project folder under the current MCP working directory, using the connected browser session for cookies and referer when needed. Google-hosted previews and Google Maps imagery are blocked. candidates accepts either an array or a JSON-array string.
| Name | Required | Description | Default |
|---|---|---|---|
| projectName | Yes | ||
| candidates | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations indicate openWorldHint=true, meaning side effects exist, but no destructive or idempotent hints. The description adds valuable behavioral context: it uses the browser session for cookies/referer, blocks Google-hosted previews and Google Maps imagery, and accepts flexible input formats for 'candidates'. This goes beyond annotations by specifying what is blocked and how sessions are used.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at two sentences, yet it packs essential information: destination, browser dependency, blocked sources, and parameter flexibility. No redundant text; every sentence adds value. Structure is front-loaded with the primary action.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of 3 parameters (including a nested object) and no output schema, the description covers the download destination and blocking behavior. However, it omits important context like response details (success/failure), error handling, the effect of the 'limit' parameter, and prerequisites for the browser session. It is adequate but not fully complete for a tool with no output schema and low parameter documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must explain all parameters. It only partially covers 'candidates' by noting it accepts arrays or JSON strings. 'projectName' and 'limit' are left unexplained, lacking any additional context on their format, purpose, or constraints. The description fails to compensate for the lack of schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the action ('Download candidate images'), the target location ('into a project folder under the current MCP working directory'), and the mechanism ('using the connected browser session for cookies and referer when needed'). It effectively distinguishes this tool from siblings like 'save_candidates_json' or 'search_google_images' by focusing on downloading images rather than metadata or searches.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no explicit guidance on when to use this tool versus alternatives. It does not mention when not to use it, nor does it reference sibling tools like 'save_candidates_json' for saving metadata instead. Usage context is only implied by the action (download) but lacks comparative decision criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
extract_manual_page_candidatesExtract Manual Page CandidatesARead-only
Re-extract visible image candidates from a previously opened manual-assisted page after you log in, scroll, or dismiss overlays. The manualPageId comes from a prior open_*_visual_search call. Each access refreshes the TTL.
| Name | Required | Description | Default |
|---|---|---|---|
| manualPageId | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only and non-destructive behavior. The description adds value by noting that each access refreshes the TTL, which goes beyond the annotations. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, front-loaded with the core action, and contains no unnecessary words. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 2 parameters, no output schema, and annotations, the description covers the purpose, usage scenario, and a behavioral note (TTL refresh). It does not describe return format or pagination, but is reasonably complete for a re-extraction tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description must compensate. It explains that manualPageId originates from a prior open_*_visual_search call, adding meaning. However, it provides no additional context for the optional limit parameter, so only partial compensation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool re-extracts visible image candidates from a previously opened manual-assisted page. It specifies the verb 're-extract' and resource 'image candidates', and distinguishes from siblings by tying to a prior open_*_visual_search call.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for when to use the tool: after logging in, scrolling, or dismissing overlays. It does not explicitly state when not to use it or name alternatives, but the usage scenario is well-defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
open_google_maps_visual_searchOpen Google Maps Visual SearchARead-only
Open Google Maps in the connected local Chrome session for safe, manual-assisted visual inspiration review. Map tile URLs (maps/vt/...) are filtered out automatically; remaining Google-hosted preview URLs cannot be downloaded by this MCP.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true. The description adds useful behavioral specifics: map tile URLs are automatically filtered and remaining preview URLs cannot be downloaded. This provides context beyond annotations, though it does not detail the exact opening behavior (e.g., tab creation, return value).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, each with clear purpose. The first sentence is front-loaded with the main action, and the second adds necessary filtering details. No superfluous content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description explains the tool's purpose and some behavioral traits, but lacks detail on parameter semantics and invocation behavior. With no output schema and 0% parameter coverage, the description should provide more complete guidance for an agent to correctly use the tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It does not describe the 'query' or 'limit' parameters, leaving their meaning and usage ambiguous. The description focuses on the tool's function rather than the parameters, which is a significant gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool opens Google Maps for 'safe, manual-assisted visual inspiration review,' specifying the verb, resource, and scope. It distinguishes itself from sibling tools like open_instagram_visual_search by focusing on Google Maps and manual review.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for manual-assisted review, providing context for when to use it. It mentions filtering of map tile URLs and the inability to download preview URLs, which are behavioral hints. However, it does not explicitly state when not to use this tool compared to alternatives like search_google_images.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
open_instagram_visual_searchOpen Instagram Visual SearchARead-only
Open Instagram in the connected local Chrome session for manual-assisted visual review and extract only visible images. When pageState.status is login_required or blocked, candidates is intentionally empty — log in via the connected Chrome window and re-extract with extract_manual_page_candidates.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, non-destructive, and open-world behavior. Description adds context about empty candidates in certain page states and suggests re-extraction steps, which is valuable beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no unnecessary words. First sentence states core functionality, second sentence handles an important edge case. Information is front-loaded and easy to scan.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, so description should clarify return values. It partially does by mentioning 'candidates' and 'visible images', but does not explain the full output structure or behavior of the 'limit' parameter. Adequate but not comprehensive.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and description does not explain the 'query' or 'limit' parameters. The meaning of 'query' can be inferred, but 'limit' is not mentioned at all, leaving ambiguity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the tool opens Instagram for manual-assisted visual review and extracts visible images. It differentiates from sibling tools by specifying Instagram and mentions handling of login_required/blocked states, distinguishing from other open tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says when to use (for manual-assisted visual review on Instagram) and what to do when login_required or blocked (log in manually, then use extract_manual_page_candidates). Provides a clear alternative tool.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
open_pinterest_visual_searchOpen Pinterest Visual SearchARead-only
Open Pinterest pin search results in the connected local Chrome session and extract visible image candidates. Pinterest occasionally serves a login wall — log in via the connected Chrome window and call extract_manual_page_candidates to re-extract.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true, and the description adds valuable context: it uses a connected local Chrome session, extracts only visible candidates, and addresses the occasional login wall with a fallback action. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two concise sentences: the first states the primary function, and the second provides a critical usage note. No extraneous content, and the key information is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the login wall scenario but lacks details on extraction behavior (e.g., scrolling, handling of dynamic content) and the format of returned candidates. With no output schema, these gaps reduce completeness for an agent expecting clear expectations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain the parameters 'query' or 'limit' beyond their names. It fails to compensate for the lack of schema descriptions, leaving the agent without guidance on expected input format or constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it opens Pinterest search results and extracts visible image candidates, using specific verbs like 'open' and 'extract'. It distinguishes from siblings by specifying Pinterest, as opposed to other platforms like Google Maps or Instagram.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides guidance on when to use an alternative tool: if a login wall appears, call extract_manual_page_candidates. However, it does not explicitly compare to other sibling tools or state when to prefer this over open_url_and_extract_images.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
open_url_and_extract_imagesOpen URL And Extract ImagesARead-only
Open any http or https URL in the connected local Chrome session and extract visible image candidates. javascript:, file:, and other schemes are rejected.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses that the tool opens a URL in a local Chrome session and extracts visible image candidates, adding context beyond the annotations (readOnlyHint, destructiveHint). It explains the scheme restriction, but does not detail browser state changes or extraction mechanics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys the core functionality and a key constraint. However, it omits parameter details, which could be structured as a short list. It is concise but at the cost of completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description should explain what 'extract visible image candidates' returns (e.g., image URLs, data). It also fails to describe the return format or any pagination behavior. Combined with missing parameter explanations, the tool is inadequately specified for reliable agent invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must compensate. It mentions the 'url' parameter but does not explain the 'limit' parameter, its purpose, or how it controls extraction. This leaves the agent guessing about a critical parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (open URL and extract images), the resource (connected local Chrome session), and the output (visible image candidates). It also explicitly rejects non-http/https schemes, distinguishing it from sibling tools that target specific sites.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description specifies that only http/https URLs are accepted and lists rejected schemes, but it does not provide guidance on when to use this generic tool versus specialized siblings like open_google_maps_visual_search. The usage context is implied but not explicitly contrasted.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
open_xiaohongshu_visual_searchOpen Xiaohongshu Visual SearchARead-only
Open Xiaohongshu search results in the connected local Chrome session and extract visible images. Best path for Chinese-language queries. When pageState reports a login wall, candidates is empty — log in via Chrome and call extract_manual_page_candidates.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true. Description adds value by explaining login wall behavior and that candidates are empty in that case. No contradictions, but could elaborate more on output format.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no wasted words. Front-loaded with primary action, followed by important conditional guidance. Exemplary conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers purpose, usage context, and a special case. Lacks parameter details and output explanation, but given no output schema and annotations, it's mostly adequate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 0% description coverage and the description does not mention parameters (query, limit). It fails to add any meaning beyond the schema, which is minimal.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool opens Xiaohongshu search results and extracts visible images, with a specific verb (open, extract), resource (Xiaohongshu), and distinguishes from siblings by mentioning it's best for Chinese-language queries.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicit when-to-use (best for Chinese-language queries) and when-not-to-use (login wall scenario, with alternative: extract_manual_page_candidates). Provides clear context and conditional guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
save_candidates_jsonSave Candidates JSONA
Save candidate metadata under the current MCP working directory without downloading image files. candidates accepts either an array or a JSON-array string.
| Name | Required | Description | Default |
|---|---|---|---|
| projectName | Yes | ||
| candidates | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate non-read-only. The description adds that images are not downloaded, which is helpful but does not cover other behaviors like overwriting or error handling. No contradiction with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences: first states the core action and location, second clarifies the parameter flexibility. No unnecessary words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers key behavior and parameter type but lacks details on return value, success/failure, file naming, or idempotency. Adequate but not rich.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds value by explaining that 'candidates' accepts either an array or JSON string, which is not described in the schema. However, 'projectName' remains uncommented, and overall schema coverage is 0%.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool saves candidate metadata to the MCP working directory and explicitly excludes downloading image files. This distinguishes it from sibling tools like download_candidate_images.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies use for metadata-only saving without images, but does not explicitly give when/when-not guidance or name alternatives. Users must infer from sibling tool names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_google_imagesSearch Google ImagesARead-only
Search Google Images (udm=2) for visually strong poster and wallpaper candidates using the connected local Chrome session. Default quality is 'normal' — pass 'cinematic' or 'poster' only when you actually want a stylistic suffix appended to the query (verbose suffixes can push Google to zero-results pages).
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No | ||
| quality | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds behavioral context beyond annotations: it mentions using a connected local Chrome session and warns that verbose quality suffixes can lead to zero results. Annotations already indicate read-only and non-destructive behavior; the description fills in additional dependencies and risks.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences, front-loaded with the core action, and includes a crucial warning. Every clause earns its place—no superfluous text.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with 3 parameters and no output schema, the description covers the main purpose, a key parameter caveat, and the Chrome session dependency. It does not detail return values, but given the simplicity, it is mostly complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, so the description must compensate. It explains the 'quality' parameter's default and cautionary behavior, but does not clarify 'query' (though implied) or 'limit'. Partial value added.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: searching Google Images for poster and wallpaper candidates using a local Chrome session. It specifies the resource (Google Images with udm=2) and the verb (search), distinguishing it from sibling tools that target other platforms or actions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides guidance on when to use the 'quality' parameter (pass 'cinematic' or 'poster' only when a stylistic suffix is wanted) and warns about zero-results pages. However, it does not explicitly state when to use this tool instead of other image search tools or provide exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_wallpaper_sitesSearch Wallpaper SitesARead-only
Search supported wallpaper, photography, archive, and open-license image sources using direct site adapters with Google fallback. Pass sites as either an array of strings or a JSON-array string. Default quality suffix is 'cinematic' (kept for backwards-compat); reduce to 'normal' for noisy queries.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| limit | No | ||
| sites | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Adds context beyond annotations by explaining the Google fallback, direct site adapters, and quality suffix behavior. No contradictions with annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences that front-load the purpose and provide necessary usage details without fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Covers the main behaviors like fallback and sites flexibility. Lacks details on return format or limit parameter, but the tool is search-style and return is somewhat implied.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description partially compensates by explaining the `sites` parameter format (array or JSON string) and the default quality suffix. However, the `limit` and `query` parameters are not elaborated.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Search', the resource (wallpaper, photography, etc., image sources), and the method (direct site adapters with Google fallback). It distinguishes from siblings like search_google_images by indicating multiple sources.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides guidance on how to use the `sites` parameter and the default quality suffix. However, it does not explicitly state when to use this tool versus alternatives like search_google_images.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
11 tool updates
v0.4.0- First observed
close_manual_page - First observed
download_candidate_images - First observed
extract_manual_page_candidates - First observed
open_google_maps_visual_search - First observed
open_instagram_visual_search - First observed
open_pinterest_visual_search - First observed
open_url_and_extract_images - First observed
open_xiaohongshu_visual_search - First observed
save_candidates_json - First observed
search_google_images - First observed
search_wallpaper_sites
TDQS
Scored across 11 tools
Each tool targets a distinct action or platform: opening specific sites (Google Maps, Instagram, Pinterest, Xiaohongshu, generic URL), extracting or re-extracting candidates, downloading or saving images, and searching via Google or wallpaper sites. No two tools have overlapping purposes, and descriptions clarify their unique roles.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., 'close_manual_page', 'download_candidate_images', 'open_google_maps_visual_search'). There are no deviations or mixed styles, ensuring predictability for agents.
With 11 tools, the server is well-scoped for its purpose of visual hunting. Each tool serves a clear function without redundancy, and the count is neither too thin nor too heavy for the domain.
The tool set covers the full workflow: opening visual sources (platform-specific and generic), extracting and re-extracting candidates, downloading images, and saving metadata. There are no obvious missing operations like a 'list downloads' tool, but the core lifecycle is complete and agents can accomplish tasks without dead ends.
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