Merge pull request #2529 from NubsCarson/codex/2509-mcp-tool-input-params

fix(mcp): expose MCP tool input parameters to the agent
This commit is contained in:
Michiel Van de Velde
2026-06-04 23:07:42 +02:00
committed by GitHub
4 changed files with 107 additions and 2 deletions

View File

@@ -475,7 +475,7 @@ _API_HOSTS = frozenset([
# schemas and the agent silently degrades to fenced-block parsing.
"localhost", "127.0.0.1", "host.docker.internal",
])
_MCP_KEYWORDS = frozenset(["browse", "browser", "website", "calendar", "event", "email",
_MCP_KEYWORDS = frozenset(["mcp", "browse", "browser", "website", "calendar", "event", "email",
"gmail", "screenshot", "navigate", "click", "miniflux", "rss", "feed"])
_ADMIN_SCHEMA_NAMES = frozenset([
"manage_session", "manage_skills", "manage_tasks",

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@@ -30,6 +30,33 @@ def _format_mcp_connection_error(name: str, command: str = "", args: Optional[Li
return raw_error
def _format_mcp_params(input_schema: Any) -> str:
"""Render an MCP tool's JSON-Schema inputs as a compact prompt hint.
Without this the agent only sees a tool's name + description and has to
guess its arguments (issue #2509). Produces e.g.
` Args (JSON): {"path": string (required), "limit": integer}` — names,
coarse types, and required-ness, kept short so it stays prompt-friendly.
Returns "" when there are no parameters.
"""
if not isinstance(input_schema, dict):
return ""
props = input_schema.get("properties")
if not isinstance(props, dict) or not props:
return ""
required = set(input_schema.get("required") or [])
parts = []
for pname, pinfo in props.items():
pinfo = pinfo if isinstance(pinfo, dict) else {}
ptype = pinfo.get("type") or "any"
if isinstance(ptype, list):
ptype = "|".join(str(x) for x in ptype)
tag = f'"{pname}": {ptype}'
if pname in required:
tag += " (required)"
parts.append(tag)
return " Args (JSON): {" + ", ".join(parts) + "}"
class McpManager:
"""Manages MCP server connections and tool routing."""
@@ -376,6 +403,7 @@ class McpManager:
"name": tool["name"],
"qualified_name": f"mcp__{server_id}__{tool['name']}",
"description": tool.get("description", ""),
"input_schema": tool.get("input_schema") or {},
"is_disabled": tool["name"] in disabled,
})
return result
@@ -439,7 +467,11 @@ class McpManager:
for t in server_tools:
# Truncate long descriptions
desc = t['description'][:120] + '...' if len(t['description']) > 120 else t['description']
lines.append(f" - {t['qualified_name']}: {desc}")
# Include the tool's declared inputs so the model calls it with
# real argument names instead of guessing from the description
# alone (issue #2509).
args_hint = _format_mcp_params(t.get("input_schema"))
lines.append(f" - {t['qualified_name']}: {desc}{args_hint}")
result = "\n".join(lines)
self._cached_prompt_desc = result

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@@ -38,6 +38,7 @@ try:
_detect_admin_intent,
_compute_final_metrics,
_append_tool_results,
_MCP_KEYWORDS,
)
_IMPORTED_AGENT_LOOP = sys.modules.get("src.agent_loop")
finally:
@@ -57,6 +58,10 @@ def test_import_stubs_do_not_leak_into_later_tests():
assert sys.modules.get("src.agent_loop") is not _IMPORTED_AGENT_LOOP
def test_mcp_keyword_gate_matches_literal_mcp_requests():
assert "mcp" in _MCP_KEYWORDS
# ---------------------------------------------------------------------------
# _detect_admin_intent
# ---------------------------------------------------------------------------

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@@ -0,0 +1,68 @@
"""Regression for issue #2509 — MCP tools must expose their input parameters.
``McpManager.get_tool_descriptions_for_prompt()`` previously emitted only
``- name: description`` per MCP tool, so agents (notably on the fenced-block
tool path used by Ollama models) never saw a tool's declared inputs and guessed
argument names from the description alone. ``get_all_tools()`` also dropped the
``input_schema`` entirely. These tests pin that the inputs now reach both
surfaces.
"""
from src.mcp_manager import McpManager
def _mgr_with_tool() -> McpManager:
mgr = McpManager()
mgr._tools = {
"srv1": [
{
"name": "fetch_doc",
"description": "Fetch a document by path.",
"input_schema": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "file path"},
"limit": {"type": "integer"},
},
"required": ["path"],
},
}
]
}
mgr._connections = {"srv1": {"status": "connected", "name": "Files", "identity": ""}}
return mgr
def test_get_all_tools_carries_input_schema():
tools = _mgr_with_tool().get_all_tools()
assert tools and tools[0]["input_schema"]["properties"]["path"]["type"] == "string"
def test_prompt_descriptions_surface_param_names_and_required():
text = _mgr_with_tool().get_tool_descriptions_for_prompt()
assert "mcp__srv1__fetch_doc" in text
assert "path" in text and "limit" in text # inputs are surfaced to the model
assert "required" in text # required-ness is surfaced
def test_format_mcp_params_handles_no_params():
from src.mcp_manager import _format_mcp_params
assert _format_mcp_params({}) == ""
assert _format_mcp_params(None) == ""
assert _format_mcp_params({"type": "object", "properties": {}}) == ""
def test_format_mcp_params_marks_required_and_types():
from src.mcp_manager import _format_mcp_params
out = _format_mcp_params(
{
"type": "object",
"properties": {"q": {"type": "string"}, "n": {"type": "integer"}},
"required": ["q"],
}
)
assert '"q": string (required)' in out
assert '"n": integer' in out
assert '"n": integer (required)' not in out # optional param not marked required