diff --git a/vllm/v1/spec_decode/eagle.py b/vllm/v1/spec_decode/eagle.py
index 75f1f040d764..72abef497375 100644
--- a/vllm/v1/spec_decode/eagle.py
+++ b/vllm/v1/spec_decode/eagle.py
@@ -3,7 +3,7 @@
 import ast
 from dataclasses import replace
 from importlib.util import find_spec
-from typing import Optional
+from typing import Optional, Protocol
 
 import numpy as np
 import torch
@@ -33,6 +33,17 @@
 PADDING_SLOT_ID = -1
 
 
+class EagleAttentionMetadata(Protocol):
+    # Required attributes
+    num_actual_tokens: int
+    max_query_len: int
+    query_start_loc: torch.Tensor
+    max_seq_len: int
+    seq_lens: torch.Tensor
+    block_table: torch.Tensor
+    slot_mapping: torch.Tensor
+
+
 class EagleProposer:
 
     def __init__(
@@ -97,7 +108,7 @@ def __init__(
             device=device)
 
         # Determine allowed attention backends once during initialization.
-        self.allowed_attn_types: tuple[type, ...] = ()
+        self.allowed_attn_types: tuple[type[EagleAttentionMetadata], ...]
         if current_platform.is_rocm():
             rocm_types = [TritonAttentionMetadata, FlashAttentionMetadata]
             # vllm.v1.attention.backends.rocm_aiter_fa is an optional backend
@@ -240,10 +251,6 @@ def propose(
         # there's a multi-layer MTP module.
         assert isinstance(attn_metadata, self.allowed_attn_types)
 
-        # The mypy errors are caused because mypy cannot infer the type of
-        # attn_metadata. We add this assert to help mypy.
-        assert isinstance(attn_metadata, FlashAttentionMetadata)
-
         # Generate the remaining draft tokens.
         draft_token_ids_list = [draft_token_ids]