The Problem
Coding agents (Cursor, Windsurf, Claude Code, custom ReAct agents) sometimes refuse to use web search tools or use them incorrectly. Common failures include: the tool schema does not match what the model expects, the response format confuses the model, search results lack sufficient context for code queries, or the tool description does not clearly explain when to invoke search. Debugging these failures requires understanding both the LLM's tool-calling behavior and the search API's response format.
The Scavio Solution
Fix coding agent search tool failures by using Scavio's structured JSON output that maps cleanly to function-calling schemas. The response includes typed fields that LLMs can parse reliably: organic results with title/snippet/link, Knowledge Graph for entity data, and People Also Ask for related queries. Pair this with a well-crafted tool description that tells the model exactly when and how to search.
Before
Before: A coding agent with a search tool only used it 30% of the time it should have. The tool schema had optional fields that confused the model. Search results returned HTML fragments that the model could not parse reliably. Debugging required logging every tool call attempt.
After
After: The same agent uses search reliably 95% of the time. Scavio's consistent JSON schema means the function definition is stable. Tool invocation rate went from 30% to 95% by fixing the tool description and using structured results. Average search-grounded response accuracy improved from 60% to 88%.
Who It Is For
AI engineers building coding agents that use web search tools. Anyone debugging why their agent refuses to search or returns poor search-grounded answers.
Key Benefits
- Structured JSON output eliminates parsing failures in agent tool calls
- Consistent schema means the function definition never needs updating
- Tool description template tested with GPT-4, Claude, and Gemini models
- Multi-platform results give coding agents access to docs, tutorials, and discussions
- Debug search tool failures in minutes instead of hours with predictable responses
Python Example
import requests
import json
API_KEY = "your_scavio_api_key"
# Well-structured tool definition for any LLM
SEARCH_TOOL = {
"name": "web_search",
"description": "Search the web for documentation, code examples, error solutions, and API references. Use this tool when you need current information about libraries, frameworks, or error messages.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Search query (include language/framework name for better results)"},
},
"required": ["query"],
},
}
def web_search(query: str) -> dict:
r = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": "google", "query": query},
timeout=10,
)
data = r.json()
return {
"results": [{"title": o["title"], "snippet": o.get("snippet", ""), "url": o["link"]} for o in data.get("organic", [])[:5]],
"knowledge_graph": data.get("knowledge_graph"),
}
result = web_search("python requests timeout best practice 2026")
print(json.dumps(result, indent=2))JavaScript Example
const API_KEY = "your_scavio_api_key";
// Well-structured tool definition for any LLM
const SEARCH_TOOL = {
name: "web_search",
description: "Search the web for documentation, code examples, error solutions, and API references. Use this tool when you need current information about libraries, frameworks, or error messages.",
parameters: {
type: "object",
properties: {
query: { type: "string", description: "Search query (include language/framework name for better results)" },
},
required: ["query"],
},
};
async function webSearch(query) {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform: "google", query }),
});
const data = await res.json();
return {
results: (data.organic || []).slice(0, 5).map(o => ({ title: o.title, snippet: o.snippet || "", url: o.link })),
knowledgeGraph: data.knowledge_graph || null,
};
}
const result = await webSearch("python requests timeout best practice 2026");
console.log(JSON.stringify(result, null, 2));Platforms Used
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
Community, posts & threaded comments from any subreddit