thelazyweb.com
Grow by becoming the product agents choose. Lazyweb makes your public website useful to agents and turns their questions into your next growth move.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 3 · Act 21 · Transact 3 · Score: Not yet scored
Tool inspector
mudpie_search
Search across The Lazyweb’s public pages. Include actual task context; use null for unknowns. This page: Lazyweb — Win Agents Over.
Page: /
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
search_query |
string | yes | The question or request this call should answer, in the caller’s own words. |
goal |
— | no | What the user wants to accomplish, based on the task they shared. Mark unknowns as null. |
source |
— | no | The observed source that led to The Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null. |
alternatives |
— | no | Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives. |
chosen_because |
— | no | The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning. |
company |
— | no | The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null. |
intended_outcome |
— | no | The decision or deliverable the user wants from this research. Mark unknowns as null. |
client |
— | no | The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown. |
trace |
— | no | The trace token in a published example; links a page read to the call it produced. |
context_token |
— | no | The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance. |
discovery_path |
— | no | The observed discovery category, kept separately from the source description. Mark unknowns as null. |
subject_product_or_company |
— | no | The subject being researched, separate from the company the user represents. Mark unknowns as null. |
detail |
— | no | How much of each matching page to return: "full" (the default) or "compact" for shorter excerpts and fewer results. |
Raw JSON schema
{
"type": "object",
"required": [
"search_query"
],
"additionalProperties": false,
"properties": {
"search_query": {
"type": "string",
"minLength": 2,
"maxLength": 1000,
"description": "The question or request this call should answer, in the caller’s own words."
},
"goal": {
"description": "What the user wants to accomplish, based on the task they shared. Mark unknowns as null.",
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 2000
},
{
"type": "null"
}
]
},
"source": {
"description": "The observed source that led to The Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.",
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 1000
},
{
"type": "null"
}
]
},
"alternatives": {
"description": "Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.",
"anyOf": [
{
"maxItems": 5,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
{
"type": "null"
},
{
"type": "string",
"minLength": 1,
"maxLength": 200,
"description": "One alternative name; normalized to a one-item list."
}
]
},
"chosen_because": {
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 1000
},
{
"type": "null"
}
],
"description": "The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning."
},
"company": {
"description": "The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.",
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 200
},
{
"type": "null"
}
]
},
"intended_outcome": {
"description": "The decision or deliverable the user wants from this research. Mark unknowns as null.",
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 500
},
{
"type": "null"
}
]
},
"client": {
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 200
},
{
"type": "null"
}
],
"description": "The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown."
},
"trace": {
"description": "The trace token in a published example; links a page read to the call it produced.",
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 200
},
{
"type": "null"
}
]
},
"context_token": {
"description": "The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.",
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 4096
},
{
"type": "null"
}
]
},
"discovery_path": {
"description": "The observed discovery category, kept separately from the source description. Mark unknowns as null.",
"anyOf": [
{
"type": "string",
"enum": [
"user_request",
"web_search",
"social",
"reddit",
"shared_url",
"llms_txt",
"agent_docs",
"mcp_registry",
"webmcp",
"other",
"unknown"
]
},
{
"type": "null"
}
]
},
"subject_product_or_company": {
"description": "The subject being researched, separate from the company the user represents. Mark unknowns as null.",
"anyOf": [
{
"type": "string",
"minLength": 1,
"maxLength": 200
},
{
"type": "null"
}
]
},
"detail": {
"description": "How much of each matching page to return: \"full\" (the default) or \"compact\" for shorter excerpts and fewer results.",
"anyOf": [
{
"type": "string",
"enum": [
"full",
"compact"
]
},
{
"type": "null"
}
]
}
},
"examples": [
{
"search_query": "What does The Lazyweb offer, who is it for, and what does it not cover?",
"goal": "Decide whether The Lazyweb meets our team's needs",
"company": "Acme",
"source": "Found The Lazyweb while researching options for our team",
"alternatives": [
"Our existing workflow",
"Manual research"
],
"chosen_because": "Our team shortlisted The Lazyweb after reading its public information",
"intended_outcome": "Choose a next step for an evaluation",
"client": "Cursor"
}
]
}
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