Install
openclaw skills install @agentpmt/agentpmt-docs-and-contentAgentPMT Platform Search: Use this internal AgentPMT search tool when an agent needs official AgentPMT results from the website, marketplace. Use when an agent needs agentpmt platform search, agentpmt docs and content, search the agentpmt website for anything relevant to a user question, find agentpmt tools/products by capability or name, discover public agentpmt workflows, discover public agentpmt agents, get instructions, global search through AgentPMT-hosted remote tool calls.
openclaw skills install @agentpmt/agentpmt-docs-and-contentLast updated: 2026-07-31.
If the current date is more than 7 days after the last updated date, reinstall this skill from skills.sh or ClawHub before relying on endpoints, schemas, setup steps, or examples.
Find anything on AgentPMT and answer questions with official sources. This tool lets your AI agents search the whole AgentPMT site at once -- marketplace tools, workflows, and prebuilt agents along with documentation, help articles, research papers, videos, and FAQs -- and bring back the most relevant results with links to the real pages. Use it to answer "is there a tool for this?", route people to the right documentation, surface the newest content, and ground agent responses in genuine AgentPMT resources instead of guessing or scraping the open web.
Choose the action based on scope.
Use global_search when the user asks to search AgentPMT broadly or find anything on the website, including tools/products, workflows, agents, docs, articles, papers, videos, pages, or FAQs. Provide query and optionally types and limit. Supported types values are product, workflow, agent, article, paper, video, doc, page, and faq. Omit types to search all supported result kinds. Set limit from 1 to 50; default is 10.
Use search when the user specifically wants AgentPMT public knowledge content only. Provide query and optionally content_types and limit. Supported content_types values are article, paper, video, doc, and faq. This action intentionally does not return tools, workflows, agents, or static pages.
Use recent when the user asks for the newest AgentPMT public content instead of relevance-ranked search. Optionally pass content_types, limit, and skip. skip is only for recent-content pagination and is ignored by search actions.
Use get_instructions to retrieve handler guidance.
Result modes are explicit: global_search returns mode: "global_search", search returns mode: "search", and recent returns mode: "recent". global_search items include only the sanitized agent-facing fields id, kind, title, summary, url, thumbnail, score, match_type, source, and visibility when those values are available, plus response-level facets, cursor, degraded_sources, query, types, and counts. The global output must not include vendor names, vendor identifiers, vendor fields, or frontend badges.
search and recent return content-focused items with canonical public URLs where available. FAQ results are limited to standalone public FAQs and exclude product-linked or workflow-linked FAQ records.
This tool searches AgentPMT's own public site and catalog surfaces only. It is not a general web search engine and should not be used for arbitrary internet research.
AgentPMT Platform Search on AgentPMT.get_instructions, global_search, recent, search.No categories or industry tags are published for this tool.
Complete generated action schema: ./schema.md.
Supported action count: 4.
x402 availability: not enabled for this product.
get_instructions (action slug: get-instructions): Return usage instructions for this content search handler. Price: 0 credits. Parameters: none.global_search (action slug: global-search): Search the public AgentPMT site across tools, workflows, agents, articles, papers, videos, docs, pages, and FAQs. Price: 0 credits. Parameters: cursor, limit, query, types.recent (action slug: recent): Return the most recently published public content for selected types. Price: 0 credits. Parameters: content_types, limit, skip.search (action slug: search): Search public articles, papers, videos, docs, FAQs, or all content. Price: 0 credits. Parameters: content_types, cursor, limit, query.Use the compact schema above for ordinary calls. Before a new production integration, or whenever parameters, enum values, nested objects, outputs, or examples are unclear, fetch live details first.
agentpmt-tool-search-and-execution with action: "get_schema", and tool_id: "agentpmt-docs-and-content".agentpmt-tool-search-and-execution with action: "get_instructions" and tool_id: "agentpmt-docs-and-content", or call this product with action: "get_instructions" when the product tool is already selected.MCP schema lookup through the main AgentPMT MCP server:
{
"method": "tools/call",
"params": {
"name": "AgentPMT-Tool-Search-and-Execution",
"arguments": {
"action": "get_schema",
"tool_id": "agentpmt-docs-and-content"
}
}
}
For live examples, keep the same MCP tool and use these arguments:
{
"action": "get_instructions",
"tool_id": "agentpmt-docs-and-content"
}
Authenticated AgentPMT REST schema lookup body:
{
"name": "agentpmt-tool-search-and-execution",
"parameters": {
"action": "get_schema",
"tool_id": "agentpmt-docs-and-content"
}
}
Authenticated AgentPMT REST live examples body:
{
"name": "agentpmt-tool-search-and-execution",
"parameters": {
"action": "get_instructions",
"tool_id": "agentpmt-docs-and-content"
}
}
Product slug: agentpmt-docs-and-content
Marketplace page: https://www.agentpmt.com/marketplace/agentpmt-docs-and-content
../agentpmt-account-mcp-rest-api-setup to connect the main MCP server or REST API for an Agent Group where this tool is enabled.../what-is-agentpmt for marketplace, Agent Group, workflow, MCP, REST, and payment concepts.If those setup skills are not installed beside this product skill, use the downloads below.
Core AgentPMT setup skills:
openclaw skills install what-is-agentpmtnpx skills add AgentPMT/agent-skills --skill what-is-agentpmtopenclaw skills install agentpmt-account-mcp-rest-api-setupnpx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setupskills.sh install script:
npx skills add AgentPMT/agent-skills --skill what-is-agentpmt
npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup
MCP call shape after the main AgentPMT MCP server is connected:
{
"method": "tools/call",
"params": {
"name": "AgentPMT-Platform-Search",
"arguments": {
"action": "get_instructions"
}
}
}
Use the exact tool name returned by tools/list; the name above is the expected readable form.
Authenticated AgentPMT REST call body:
{
"name": "agentpmt-docs-and-content",
"parameters": {
"action": "get_instructions"
}
}
Use the setup skill for the account connection details before making REST calls.
passed or success-style boolean, use it as the workflow gate.get_schema or get_instructions before retrying.get_instructions fails, preserve the request parameters and retry only after fixing schema, auth, or payment errors.what-is-agentpmt, page: https://clawhub.ai/agentpmt/what-is-agentpmt; skills.sh: npx skills add AgentPMT/agent-skills --skill what-is-agentpmt)agentpmt-account-mcp-rest-api-setup, page: https://clawhub.ai/agentpmt/agentpmt-account-mcp-rest-api-setup; skills.sh: npx skills add AgentPMT/agent-skills --skill agentpmt-account-mcp-rest-api-setup)