From c5eff58bf81b9e70dc05d2fa5317a5426e102cce Mon Sep 17 00:00:00 2001
From: majdyz <zamil.majdy@agpt.co>
Date: Wed, 22 Apr 2026 06:12:09 +0700
Subject: [PATCH] fix(backend/copilot): keep tool schema under char budget for
 web_search
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Trim web_search description + params (733 → 476 chars saved 257)
and bump the schema char budget from 32_500 to 32_800 to absorb the
remaining skeleton cost of a newly added LLM-facing primitive.
Unblocks test_total_schema_char_budget in the py3.11/3.12/3.13 matrix.
---
 .../backend/copilot/tools/tool_schema_test.py    |  6 +++++-
 .../backend/backend/copilot/tools/web_search.py  | 16 ++++++----------
 2 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/autogpt_platform/backend/backend/copilot/tools/tool_schema_test.py b/autogpt_platform/backend/backend/copilot/tools/tool_schema_test.py
index e0403cdc79..7b370f810c 100644
--- a/autogpt_platform/backend/backend/copilot/tools/tool_schema_test.py
+++ b/autogpt_platform/backend/backend/copilot/tools/tool_schema_test.py
@@ -21,7 +21,11 @@ from backend.copilot.tools import TOOL_REGISTRY
 # response shape carries) and the dry_run description. Keeps the
 # regression gate effective while accepting a deliberate ~120-token
 # spend on LLM-decision-critical copy.
-_CHAR_BUDGET = 32_500
+# Bumped 32500 -> 32800 on PR #12871 for the new web_search tool
+# (server-side Anthropic beta). Description already trimmed to the
+# minimum viable copy; the bump absorbs the schema skeleton cost
+# (~300 chars / ~75 tokens) for a new LLM-facing primitive.
+_CHAR_BUDGET = 32_800
 
 
 @pytest.fixture(scope="module")
diff --git a/autogpt_platform/backend/backend/copilot/tools/web_search.py b/autogpt_platform/backend/backend/copilot/tools/web_search.py
index 22d9a82904..feb999d4d6 100644
--- a/autogpt_platform/backend/backend/copilot/tools/web_search.py
+++ b/autogpt_platform/backend/backend/copilot/tools/web_search.py
@@ -36,13 +36,9 @@ class WebSearchTool(BaseTool):
     @property
     def description(self) -> str:
         return (
-            "Search the web and return cited results.  Use this for live "
-            "information — news, current events, up-to-date docs, recent "
-            "releases — when the model's training data would be stale.  "
-            "Returns a list of {title, url, snippet} plus the URLs so "
-            "``web_fetch`` can deep-dive any result.  Costs a few cents "
-            "per search; prefer one well-targeted query over many "
-            "reformulations."
+            "Search the web for live info (news, recent docs). Returns "
+            "{title, url, snippet}; use web_fetch to deep-dive a URL. "
+            "Prefer one targeted query over many reformulations."
         )
 
     @property
@@ -52,13 +48,13 @@ class WebSearchTool(BaseTool):
             "properties": {
                 "query": {
                     "type": "string",
-                    "description": "The search query — a question or topic.",
+                    "description": "Search query.",
                 },
                 "max_results": {
                     "type": "integer",
                     "description": (
-                        f"Maximum results to return (default "
-                        f"{_DEFAULT_MAX_RESULTS}, hard cap {_HARD_MAX_RESULTS})."
+                        f"Max results (default {_DEFAULT_MAX_RESULTS}, "
+                        f"cap {_HARD_MAX_RESULTS})."
                     ),
                     "default": _DEFAULT_MAX_RESULTS,
                 },